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Technical Program Manager - Data Center Infrastructure Delivery
Lambda · United States
$214k–284k
11 days ago
♡
Demand & Supply Planning Manager
Lambda · San Francisco, California, United States
$198k–264k
17 days ago
♡
Principal Data Center Supply Chain Lead
Lambda · San Jose, California, United States
$211k–331k
24 days ago
♡
Senior Software Enginering - Mk8S/Control Plane
Lambda · San Francisco, California, United States
$230k–346k
30 days ago
♡
Data Center Construction Site Foreman (Reno)
Lambda · Reno, Nevada, United States
$188k–250k
31 days ago
♡
Staff Mechanical Engineer - Data Center Cooling
Lambda · San Francisco, California, United States
$349k–465k
43 days ago
♡
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Technical Program Manager - Data Center Infrastructure Delivery
Lambda · United States
Pay
$214k–284k
Setting
Remote
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
Role Overview
Lambda is seeking a Technical Program Manager (TPM) to own the integrated delivery program for new data center builds, from the handoff of a selected site by Real Estate through construction, commissioning, operational readiness, and turnover to Network Deployment. You will be the single source of truth for milestones, risks, and dependencies on your sites, leading internal teams and external partners (GCs, design firms, utilities, and vendors) across site work, utilities, shell, MEP, controls, white space, inspections, and commissioning.
Ambiguity is high, timelines are compressed, and the stakes are central to company growth. As we scale beyond our first sites, you will help build the playbooks and governance that let us run many concurrent deployments well.
What You’ll Do
- Own the integrated schedule from site handoff to Operations; break builds into workstreams with clear owners and milestones, and actively manage the critical path and schedule compression.
- Drive the delivery sequence from rack requirements to engineering criteria, design, plan set, permitting, construction, commissioning, and turnover for MW-scale, high-density (including liquid-cooled) capacity.
- Lead cross-functional execution with Real Estate (site assumptions, fiber, permit path), Energy and Utilities (interconnection, substation, power delivery), Engineering (requirements in the design and plan set), Procurement (long-lead equipment), Construction Management (GC schedule, field progress, inspections), Commissioning (test plans, acceptance), Operations (staffing, procedures, access), and Security, and Finance (requirements, budget, CapEx), and Legal.
- Manage risk and governance: maintain risk registers, dependency logs, decision trackers, and schedule variance reports; surface permitting, utility, design, procurement, sequencing, and commissioning risks early.
- Escalate with facts: status, baseline vs. forecast date, variance, impact, owner, mitigation options, and decision date. Lead schedule recovery when milestones slip.
- Hold partners accountable to contractual milestones, production and shipping schedules, and commercial commitments while maintaining productive relationships.
- Communicate to leadership through program reviews and concise, high-signal status updates.
- Deliver clean turnover: define handover criteria and ensure white space, power, cooling, controls, cable pathways, access, and documentation are ready for Network Deployment.
- Scale the function: build repeatable playbooks, dashboards, and lessons-learned loops across concurrent deployments.
- Travel (~40%) to sites to validate progress and build partner relationships.
Scope of Ownership
- Owns: site-level delivery program management; the integrated schedule; cross-functional coordination; milestone, risk, dependency, and decision tracking; variance reporting and escalation; Operations readiness.
- Partners on, but does not own: site selection and real estate; engineering design authority; construction means and methods and GC management; commissioning authority; procurement commercial strategy; network and services deployment; steady-state operations.
You
- Have 7+ years in data center delivery, infrastructure or construction program management, mission-critical facilities, or large capital projects.
- Have delivered ground-up data centers or comparable mission-critical, industrial, semiconductor, or energy facilities, ideally multi-site on compressed timelines.
- Know the full lifecycle: site handoff, permitting, design, utilities, procurement, construction, MEP, controls, commissioning, and turnover.
- Run integrated schedules, critical path, dependency logs, and change control with rigor.
- Understand technical tradeoffs well enough to spot risks, ask precise questions, and escalate without owning design authority.
- Align partners, vendors, and engineering teams around shared deliverables, and bridge physical infrastructure with network and security teams.
- Make sound decisions with incomplete information under schedule pressure, and communicate status clearly to executives.
- Strong written and verbal communication skills.
Nice to Have
- Hyperscale, AI/GPU, cloud region, or high-density compute delivery experience.
- Utility interconnection, substation, MV/HV power, and liquid cooling experience.
- Work with colocation providers, GCs, EPCs, commissioning agents, and permitting authorities.
- PMP, construction management, engineering, or project controls certification.
Success Measures
- Sites reach infrastructure turnover on the committed timeline.
- Milestones across engineering, construction, commissioning, operations, procurement, and utilities are visible and accurate.
- Critical path risks are escalated early with a clear owner, impact, and mitigation options.
- Handoff to Operations meets defined readiness criteria, with no major gaps.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.
Demand & Supply Planning Manager
Lambda · San Francisco, California, United States
Pay
$198k–264k
Setting
Hybrid
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
About the Role
We are seeking experienced Demand & Supply Planning Managers to help build a brand-new planning function for Lambda's data center hardware, as part of Lambda's Supply Chain team, which makes sure the right systems, racks, and networking equipment are in the right place at the right time to power our rapidly growing AI cloud footprint.
You will own the planning process that connects what our customers and data center deployments need with what our ODM/OEM partners and component suppliers can deliver: building and maintaining demand forecasts, translating them into supply and build plans, balancing capacity and inventory against deployment schedules, and surfacing constraints early enough for the business to act on them.
The ideal candidate has planned complex, long-lead-time hardware in a high-growth environment. You are comfortable pressure-testing a forecast, building a supply plan from the bill of materials up, running a rigorous S&OP cycle, and telling leadership clearly where the risks are and what trade-offs are on the table, while moving fluidly between strategic planning and the details that make or break a deployment.
Because this is a net-new team, you will have a real hand in defining how planning works at Lambda: the processes, the cadence, the metrics, and the tools. You will work closely with Sourcing (ODM/OEM), Commodity Management, Operations and Logistics, Data Center Engineering, Finance, and Go-to-Market to bring capacity online on schedule.
What You'll Do
Demand Planning & Forecasting
- Own the demand forecast for your assigned portfolio, translating data center deployment plans, customer commitments, and capacity roadmaps into a unit-level, time-phased view of what we need and when.
- Build and maintain forecast models, assumptions, and scenarios (base, upside, downside), and track forecast accuracy and bias over time.
- Partner with Go-to-Market, Project Management, Finance, and Data Center Engineering to keep the demand signal current as customer commitments, cluster designs, and site readiness change.
- Establish clear forecast input ownership, cadence, and change-control so that upstream changes are visible and acted on quickly.
Supply Planning & Capacity Alignment
- Convert demand into supply and build plans for finished systems, racks, and networking equipment, including ODM/OEM build slots, integration capacity, and delivery schedules.
- Align partner manufacturing capacity and lead times with the demand forecast, and drive resolution when supply and demand do not match.
- Work with Commodity Management to understand component availability and allocation (accelerators, memory, storage, optics, power, cooling) and reflect those constraints in the supply plan.
- Lead execution timing across the supply chain, setting and driving the schedule so that material procurement is placed and delivered on time to support build and deployment commitments.
- Plan for new platform introductions and transitions, coordinating build schedules, ramp timing, and cutover so that new and legacy platforms are supplied without gaps or excess.
- Coordinate with Operations and Logistics on inbound flow, staging, and delivery so that supply lands when data centers are ready to receive it, either through direct ship or hub-spoke delivery models.
Integrated Planning (S&OP)
- Run or contribute to the Sales & Operations Planning cycle for infrastructure: demand review, supply review, and executive alignment on trade-offs.
- Produce clear, decision-ready views of supply versus demand, gaps, risks, and recommended actions for leadership.
- Drive consensus across functions, and escalate constraints with options and a recommendation, not just a problem statement.
- Keep the plan of record accurate, and make plan changes and their downstream impacts transparent.
Inventory & Working Capital
- Leverage analytical models to define and manage inventory targets, buffer strategies, and safety stock for long-lead and critical items, balancing deployment risk against capital and obsolescence exposure.
- Monitor on-hand, in-transit, and committed inventory, and flag excess, shortage, and aging exposure early.
Supply Risk & Resilience
Identify, quantify, and help mitigate risks to deployment schedules, including:
- Lead-time changes and long-lead component exposure
- Manufacturing capacity constraints and build slot risk
- Component allocation and shortages
- Single points of failure across partners, sites, and regions
- Tariff, trade compliance, and geopolitical impacts on flow and timing
- Demand volatility and forecast error
- Build contingency and recovery plans, and run scenario analysis so leadership can see the options before a constraint becomes a delay.
Planning Processes, Data & Tools
- Help design and stand up the planning processes, cadence, and governance for a new team.
- Define and report the metrics that matter, such as forecast accuracy, plan adherence, days of supply, inventory turns, on-time delivery, and shortage exposure.
- Build the data foundation and reporting needed to plan at scale, and contribute to selecting and implementing planning systems and automation.
- Document processes and playbooks so the function scales as Lambda grows.
Cross-Functional Partnership
- Partner with Sourcing (ODM/OEM) so commercial commitments, capacity reservations, and ramp terms line up with the plan.
- Partner with Commodity Management on component supply, allocation, and long-lead procurement.
- Partner with Operations and Logistics on inbound execution, delivery timing, and exceptions, as tactical execution increasingly sits with Operations over time.
- Partner with Hardware, Network, and Data Center Engineering on platform roadmaps, site readiness, and configuration changes that affect supply.
- Partner with Finance on capex forecasting, inventory reserves, and the cost impact of planning decisions, and to understand commitment, cash flow, and liability curves that inform top-line financial reporting.
- Provide leadership with market insight, risk visibility, and clear recommendations on supply, cost, and timing trade-offs.
You
- 8+ years of experience in Demand Planning, Supply Planning, S&OP, Supply Chain, or Materials Planning for hardware and direct experience planning at the system, rack, or complex-assembly level (compute, storage, networking, or integrated hardware platforms).
- Demonstrated experience building demand forecasts and translating them into supply, build, and inventory plans in a long-lead-time, supply-constrained environment.
- Strong understanding of BOM structures, lead times, and how component constraints flow through to finished-goods availability.
- Experience working with ODMs, OEMs, or contract manufacturers on capacity, build schedules, and ramp planning.
- Hands-on experience running or contributing to S&OP or an equivalent integrated planning process.
- Strong analytical and financial acumen, with the ability to combine mathematical models and advanced spreadsheet skills, such as statistical forecasting, inventory and safety stock optimization, and scenario modeling, to produce outputs in a structured, scalable, and repeatable manner, and comfort working with large datasets.
- Experience with ERP and planning systems and a track record of improving planning processes and tooling.
- Proven ability to influence senior stakeholders, drive alignment across functions, and communicate risk and trade-offs clearly.
- Comfort operating with a high degree of ownership in a fast-growth, ambiguity-rich environment, including building processes from scratch.
Nice to Have
- Experience supporting hyperscale data center or AI infrastructure build programs.
- Experience planning through new product introductions, platform transitions, and rapid capacity ramps.
- Experience managing allocation and shortage scenarios for constrained components such as accelerators, memory, optics, power, and cooling.
- Familiarity with the ODM/OEM ecosystem and how build and supply models (turnkey, consigned, disaggregated) affect planning.
- Experience implementing or scaling planning tools and platforms, and working fluency in SQL, Python, or BI tools.
- APICS/ASCM certification (CPIM, CSCP) or equivalent.
- Willingness to travel domestically and internationally as needed.
- Bachelor's degree in Engineering, Supply Chain, Business, or related field; advanced degree a plus.
For the ODM Racks role:
- Experience planning AI/ML compute systems, GPU servers, or accelerated computing platforms at scale.
- Experience planning finished racks and systems with ODM partners, including build slot, integration capacity, and ramp planning.
- Experience with liquid-cooled and high-power rack architectures and cluster-level deployment models, including the power and cooling infrastructure that gates them.
For the Network Hardware Equipment role:
- Experience planning data center switching, routing, or high-speed fabric hardware at scale, including scale-up and scale-out AI fabrics.
- Familiarity with optical transceiver and cable supply markets (400G/800G and beyond, DAC/AOC, structured cabling) and their distinct lead-time and allocation dynamics.
- Experience planning network equipment deployments alongside compute and storage so that clusters are delivered complete.
For the Critical Rack Commodity Planning role:
- Experience planning long-lead, allocation-constrained components such as accelerators, memory, storage, power, or cooling.
- Experience with BOM explosion and managing component-level supply and demand, including allocation, buffer strategy, and shortage mitigation, and connecting it to finished-goods build plans.
- Experience working with commodity or component sourcing teams to align procurement commitments with the demand forecast.
We Are Looking for Someone Who Is:
- Analytical and commercially minded, able to move between a detailed forecast model and an executive conversation about trade-offs
- Data-driven, decisive, and execution-oriented
- Comfortable with leveraging AI tools in everyday workflows
- A clear communicator and strong collaborator who builds trust with partners and internal stakeholders
- Comfortable building process and structure in a fast-growth, ambiguity-rich environment
- Proactive at finding risk early and bringing options, not just problems
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.
Principal Data Center Supply Chain Lead
Lambda · San Jose, California, United States
Pay
$211k–331k
Setting
Remote
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
What You'll Do
- Own the multi-year sourcing and category strategy for the equipment and construction scopes that deliver Lambda's datacenter capacity — long-lead electrical and mechanical equipment, construction, and trade packages
- Partner with Construction, Design, and Development teams from site selection and basis-of-design through procurement, construction, commissioning, and handover, ensuring sourcing strategy and construction schedule are built against the same dates
- Own procurement of long-lead datacenter infrastructure equipment — generators, switchgear, transformers, UPS, busway, chillers, air handling units, and cooling distribution — sequencing awards and deliveries to protect the critical path
- Lead the contracting strategy for construction delivery: select and negotiate with general contractors, EPCs, design firms, and specialty trades, and choose the commercial model (lump sum, GMP, cost-plus, design-build) that fits each project's risk profile
- Serve as Lambda's lead negotiator on the highest-value construction and equipment agreements — setting negotiation strategy, driving consensus on goals and success criteria internally and externally, and partnering with Legal on master agreement terms
- Own the owner-furnished equipment strategy — deciding what Lambda buys directly versus through the contractor, and managing the logistics, storage, warranty, and installation interfaces that decision creates
- Drive change order discipline across active construction projects: assess claims and schedule impacts against the underlying business case, partner with Construction Management and Legal on resolution, and adjust impact models cross-functionally
- Identify systematic, long-term cost reduction opportunities across equipment and construction categories — standardization, volume aggregation across sites, early buys, and design-to-cost — and lead the cross-functional effort to realize them
- Build and own strategic partnerships with OEMs, contractors, and trade partners that secure capacity and delivery slots in a constrained market, and drive innovation, prefabrication, and schedule compression
- Negotiate and provide strategic oversight of delivery commitments, milestones, and SLAs across equipment vendors and construction partners; own compliance end to end and cascade expectations into the business
- Set standards for procurement and contract execution across the construction program, serve as the escalation point on pricing and delivery issues, and deliver executive-level briefings on execution models, anticipated risks, and contingency plans
- Partner with stakeholders, contractors, and suppliers to identify threats to schedule, cost, and safety, determine which alternative solutions or policy changes best mitigate them, and drive remediation
- Oversee supplier and contractor performance management — including quality and safety deliverables — through audits, site walks, and business reviews, and ensure governance keeps sourcing and contract data current
- Define and execute the strategy for industry and ecosystem engagement across the datacenter construction supply base, articulate business cases that earn leadership buy-in, and influence decisions that deploy across the portfolio
You
- Have deep, hands-on experience across end-to-end supply chain (planning, sourcing, logistics, fulfillment) and strategic sourcing, procurement, or category management — typically 10+ years, or 8+ with a Master's degree
- Hold a Bachelor's degree in Supply Chain Management, Engineering, Business, Data Analytics, Finance, or a related field, or have equivalent experience
- Have owned multi-year category strategies for complex, high-spend, supply-constrained areas with material cost and continuity-of-supply impact
- Are recognized as a lead negotiator — you have personally closed the hardest contracts, not directed someone else to
- Have set process, policy, or governance standards that an organization adopted, and have driven policy change to mitigate real business risk
- Have led through influence at scale: 3+ years of informal or indirect team leadership, coaching senior practitioners, and driving consensus across functions you do not own
- Brief and persuade executives comfortably, internally and across the supplier base, and can build the business case that earns the decision
- Are fluent with data and use it to anticipate risk, model change-order impact, and defend decisions
- Operate well in ambiguity, on compressed timelines, in a supply-constrained market
- Have worked shoulder to shoulder with construction teams — general contractors, construction managers, design and engineering firms, and specialty trades
- Have led construction contracting and contract administration: selecting delivery models, negotiating GC/EPC and trade agreements, and managing change orders, claims, and closeout through to project completion
- Have procured long-lead datacenter or critical-facility infrastructure equipment and sequenced it against a live construction schedule
Nice to Have
- Category management experience with datacenter infrastructure equipment – Generators, Switchgear, Chillers, Air Handling Units, etc.
- Program management experience delivering datacenter capacity at scale, from equipment sourcing and procurement through project execution
- Experience negotiating master agreements and resolving contract disputes alongside Legal in a high-growth company
- Experience standing up sourcing process, governance, or supplier management practice where little existed
- Experience applying AI and automation tooling to supply chain or procurement workflows
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Software Enginering - Mk8S/Control Plane
Lambda · San Francisco, California, United States
Pay
$230k–346k
Setting
Hybrid
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
About the Role
We are seeking a Senior Software Engineer to join our Managed Kubernetes (Mk8s) team. You will play a crucial role in shaping the architecture, reliability, and automation of our Kubernetes-based infrastructure, which powers mission-critical workloads across our global platform.
Lambda is building the AI Cloud of the future. We are seeking a Senior Software Engineer to help our development of our Managed Kubernetes platform. Think GKE, but purpose-built for AI workloads and running on bare metal. In this role, you will help build the infrastructure that powers the next generation of AI training and inference at scale.
As a Senior Engineer on our Orchestration team, you will contribute to Lambda's managed orchestration services, including Managed Kubernetes, Managed Slurm on Kubernetes, and higher-level platform services for inference and AIOps. You'll work at the intersection of distributed systems, GPU-accelerated computing, and Cloud Native infrastructure to build systems that are reliable, performant, and elegantly simple for our customers.
This is not a role for someone who just operates Kubernetes; it's a role for an engineer who understands how compute, network, storage, and security interact, and can build solutions that account for that context — even while focused primarily on the orchestration layer. You'll be working closely with NVIDIA's open-source ecosystem, and partnering with internal teams across the stack to deliver a world-class managed platform.
What You’ll Do
- Design, build, and maintain scalable control plane services, operators, and custom Kubernetes controllers; develop automation in Go/Python for end-to-end cluster lifecycle management — provisioning, upgrades, patching, and deletion
- Build GPU-aware orchestration systems, working within the platform architecture to support GPU scheduling and resource allocation
- Partner with the Network team on networking solutions for AI workloads: CNI integration (Cilium, Multus), high-performance fabrics (InfiniBand, RoCE), RDMA, and GPUDirect
- Write resilient systems that handle failure gracefully — timeouts, retries, backoff, and degraded-mode operation — across large-scale distributed environments
- Develop platform services for inference: model serving infrastructure, autoscaling based on inference load, and multi-model deployment patterns
- Build internal tools and CLIs that let ML/AI teams deploy and monitor their own inference services
- Support and debug production issues through on-call rotation
You
- Have 6+ years of experience in software engineering, with a track record of owning significant technical scope within a team (e.g., driving a project from design through production, or acting as a de facto tech lead on a workstream)
- Deep understanding of Kubernetes internals: controllers, schedulers, operators, CRDs, CSI, CNI, and the extension patterns that make Kubernetes powerful
- Solid grasp of distributed systems fundamentals — fault tolerance, graceful degradation, and failure handling in large-scale environments
- Experience operating the control plane and low-level pieces of large-scale Kubernetes clusters
- Experience with observability at scale: Prometheus, Grafana, distributed tracing, and building actionable alerting systems
- Strong programming skills in Go and Python; ability to collaborate effectively on shared codebases
- Solid knowledge of Linux systems, networking, containers, and cloud infrastructure
- Take pride in owning and delivering core components of products and platforms
Nice to Have
- Experience building and operating managed Kubernetes services (GKE, EKS, AKS, or similar) or working on Kubernetes control plane components
- Hands-on experience with NVIDIA's GPU/networking ecosystem: GPU Operator, device plugins, DCGM, MIG, Network Operator, NCCL tuning, or similar
- Familiarity with HPC and traditional job schedulers (Slurm) and Kubernetes-native batch scheduling (KAI, Volcano, Kueue)
- Familiarity with GPU, InfiniBand, RDMA, or high-performance computing on Kubernetes
- Exposure to storage architecture for AI/ML workloads
- Past contributions to CNCF projects or Kubernetes SIGs a plus
If you don’t meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.
Why Lambda
Lambda is building the essential infrastructure for the AI era. We're not just another cloud provider: we're a company founded by ML practitioners, for ML practitioners. Our customers include leading AI research labs and enterprises pushing the boundaries of what's possible with artificial intelligence.
What makes this role special
- You'll be building core platform services the world's largest AI companies will consume
- NVIDIA partnership: Deep integration with NVIDIA's GPU and networking stack, working with cutting-edge open-source tooling
- Real technical challenges: Massive scale GPU clusters and the unique demands of AI workloads
- Cross-stack exposure: Work at the intersection of Kubernetes, networking, storage, and compute — gaining depth across the full infrastructure stack that powers AI workloads, not just the orchestration layer
- Direct impact: Your work enables AI breakthroughs. Every model trained on Lambda benefits from systems you build
- World-class team: Work alongside engineers with deep expertise in ML, systems, and infrastructure
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.
Data Center Construction Site Foreman (Reno)
Lambda · Reno, Nevada, United States
Pay
$188k–250k
Setting
On-site
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
Travel: 75% , Sustained on-site presence required at active data center construction and fit-out sites.
What You’ll Do
As a Construction Onsite Foreman, you are Lambda’s eyes, ears, and hands in the field. You will hold daily on-site command of colocation white space fit-outs, high-density compute expansions, and infrastructure upgrades, working under the Data Center Implementation Manager and alongside the Data Center Implementation Project Manager to turn drawings and schedules into installed, energized, and accepted capacity.
You will direct and coordinate trade crews and vendor teams on the floor, sequence work across electrical, mechanical, low voltage, and network scopes, enforce safety and quality standards, and keep material and equipment flowing to the point of install. You will catch field conflicts before they become schedule impacts, escalate what cannot be solved at the site level, and own the daily record of what actually happened on your job.
Key Responsibilities
- Daily Field Supervision:
- Serve as Lambda’s on-site lead for assigned data center projects. Direct daily activity across MEP contractors, low voltage and network installers, rack and integration crews, and OEM field service teams. Run daily huddles, set the day’s priorities, and confirm each crew knows its scope, sequence, and constraints.
- Fit-Out & Installation Oversight:
- Oversee physical execution of white space fit-out work including rack and cabinet setting, containment, busway and branch circuit distribution, rPDU installation, cable tray, structured cabling, liquid cooling and CDU tie-ins, and airflow management. Verify installations match approved drawings and Lambda standards before work is covered or energized.
- Safety Leadership:
- Enforce site safety requirements, energized work permits, LOTO procedures, hot work permits, and PPE compliance. Conduct daily safety walks, stop unsafe work immediately, and lead incident and near-miss reporting with the data center provider and general contractor.
- Quality Control & Inspections:
- Perform in-progress and pre-cover inspections, torque and terminations checks, labeling verification, and workmanship reviews. Build and drive punch lists to closure, rejecting non-conforming work and confirming corrections in the field.
- Trade & Vendor Coordination:
- Deconflict overlapping trade work, sequence access to shared space and shafts, and coordinate outage and switching windows with the data center provider. Escort and manage vendor access, badging, tool and material handling, and site rules compliance.
- OFCI Material Management:
- Receive, inspect, stage, and secure OFCI (Owner-Furnished, Contractor-Installed) equipment. Verify shipments against packing lists and submittals, document damage and shortages immediately, manage laydown and storage areas, and confirm material readiness ahead of each install window.
- Schedule Support & Lookaheads:
- Own the three-week lookahead in the field. Track daily progress against the construction schedule, flag manpower and material gaps early, and provide the Implementation Project Manager with accurate percent-complete and constraint data.
- Field Documentation & Reporting:
- Produce daily field reports covering manpower counts, work completed, deliveries, delays, safety observations, and photo documentation. Maintain redline markups, RFI and field observation logs, and as-built notes for turnover.
- Issue Resolution & Escalation:
- Resolve constructability conflicts and field questions at the site level where possible. Generate clear RFIs with photos and drawing references when a design or scope decision is needed, and escalate cost, schedule, or safety impacts without delay.
- Commissioning & Turnover Support:
- Support pre-functional checks, Level 1 through Level 4 commissioning activities, and integrated systems testing. Coordinate contractor availability for scripts, witness testing where directed, and drive open-item closure through final acceptance and handoff to Data Center Operations.
- Cross-functional Alignment:
- Work closely with Network Engineering, Data Center Operations, HPC, Supply Chain, and Technical Project Management so that deployment, cabling, and hardware install activities land in the right sequence and space is turned over ready for GPU deployment.
You
- Come from the trades, with a working foreman’s command of how mission-critical space actually gets built, installed, and energized.
- Experienced running crews and vendors in live and occupied data center environments where uptime and adjacency risk are unforgiving.
- Fluent in reading and marking up construction drawings, single lines, riser diagrams, submittals, and installation details.
- Sets a visible safety standard and is comfortable stopping work and holding contractors to it, including under schedule pressure.
- Detail-driven on workmanship, labeling, torque, containment, and cable management, with a low tolerance for shortcuts that create operational debt.
- Organized in the field with materials, tools, laydown, and deliveries, and disciplined about documenting what happened each day.
- Direct and clear communicator who can brief a project manager, challenge a contractor, and write a usable daily report.
- Comfortable working with limited oversight, making sound calls on site, and knowing precisely when to escalate.
- Proficient with mobile field tools, photo documentation, and punch list and project tracking platforms.
- Willing to travel to project sites and to work off-hours, nights, or weekends when critical activities or outage windows require it.
Top Five Requirements
1. Hands-On Data Center or Mission-Critical Field Experience:
- Proven record supervising construction, fit-out, or infrastructure installation work in data centers or comparable mission-critical facilities.
2. Crew & Trade Supervision:
- Demonstrated ability to direct and sequence multiple trades and vendors on a live site, holding daily accountability for scope, pace, and workmanship.
3. MEP & Low Voltage Installation Knowledge:
- Practical command of electrical distribution, mechanical and cooling systems, containment, and structured cabling, with the ability to read drawings and catch field conflicts.
4. Safety Ownership:
- Consistent enforcement of site safety, LOTO, energized work, and permitting requirements, with the authority and willingness to stop unsafe work.
5. Field Documentation & Reporting Discipline:
- Reliable daily reporting, photo documentation, redlines, punch list management, and clear escalation to project management.
Qualifications
- High school diploma or equivalent required. Completed trade apprenticeship, journeyman license, technical certification, or associate degree in a construction or engineering discipline strongly preferred.
- 5+ years of construction field experience, including 2+ years in a foreman, lead, or superintendent capacity.
- Direct experience with data center white space fit-out, critical facility construction, or comparable industrial and mission-critical installation work.
- Working knowledge of electrical, mechanical, and low voltage systems and installation practices, including power distribution, cooling, containment, and cabling.
- Ability to read and interpret construction drawings, specifications, submittals, and installation instructions, and to produce accurate redlines.
- OSHA 30 certification required or obtained within 90 days of hire. NFPA 70E familiarity preferred. First Aid and CPR certification a plus.
- Familiarity with commissioning processes, pre-functional checklists, and punch list closeout.
- Comfortable with field reporting tools and project platforms (e.g., Procore, Smartsheet, MS Project, Monday.com http://Monday.com) and with mobile photo documentation.
- Able to lift, climb, work at height, and remain on foot in active construction environments for extended periods.
- Willingness to travel to and work within active construction sites (~75%), including off-hours and weekend work during critical activities.
- Committed to safety, quality, and continuous improvement in field execution practices.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.
Data Center Manager (Dallas)
Lambda · Dallas, Texas, United States
Pay
$137k–183k
Setting
On-site
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Plano, TX Data Center 5 days per week.
What You'll Do
- Manage and lead a team of data center technicians
- Maintain high availability, reliability, and security in the data center environment
- Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured
- Troubleshoot hardware and software issues in some of the world’s most advanced systems
- Document data center layout and network topology in DCIM software
- Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
- Assess current and future state data center requirements based on growth plans and technology trends
- Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
- Create installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers
- Oversee deployments and day-to-day operations of the data center
- Maintain uptime for assets and infrastructure, and ensure customer SLAs are met
- Participate in technical discussions and provide expertise on data center integration and deployment strategies
- Understand power/cooling requirements as well as cabling needs required within data center space to support high performance infrastructures.
- Work closely with cross-functional teams, including Hardware Engineering, Software Engineering, Supply Chain, Customer Experience and Sales, to align data center solutions with business goals
- Ensure the data center complies with Lambda’s standards and policies
You
- Have 5+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
- Have basic understanding of Linux administration
- Have experience in setting up networking appliances (Ethernet and InfiniBand) across multiple data center locations
- Are someone who pays attention to detail and has the ability to follow instructions
- Are action-oriented and have a strong willingness to learn
- Have a desire to mentor other team members and help them reach their full potential
Nice to Have
- Experience with troubleshooting and theoretical knowledge the following network layers, technologies, and system protocols: TCP/IP, OSPF, SNMP, SSL, HTTP, FTP, SSH, Syslog, DHCP, DNS, RDP, NETBIOS, IP routing, Ethernet, switched Ethernet, 802.11x, NFS, and VLANs
- Experience with working in large-scale distributed data center environments
- Experience working with auditors to meet all compliance requirements (ISO/SOC)
- Experience Supermicro & Nvidia hardware
- Previous data center team management experience
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Mechanical Engineer - Data Center Cooling
Lambda · San Francisco, California, United States
Pay
$349k–465k
Setting
Hybrid
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
- Own cooling-system standards and reference architectures for large-scale AI data centers.
- Design the complete thermal path from GPU and rack heat capture through facility distribution and final heat rejection.
- Translate server, rack, and cluster requirements into coolant temperature, flow, pressure, water-quality, and facility-capacity requirements.
- Develop air-cooled, liquid-cooled, and hybrid cooling architectures for greenfield, retrofit, and partner-operated facilities.
- Design central plants, technology cooling-water loops, CDUs, heat exchangers, pumps, piping, chillers, cooling towers, dry coolers, and adiabatic systems.
- Perform thermal, hydraulic, pressure-drop, heat-transfer, psychrometric, and equipment-capacity calculations.
- Evaluate system performance across site climate conditions, compute-load changes, equipment failures, and maintenance scenarios.
- Develop and review P&IDs, equipment schedules, layouts, specifications, sequence of operation, and basis-of-design documents.
- Define requirements for redundancy, thermal ride-through, failure isolation, maintainability, efficiency, and water consumption.
- Establish requirements for coolant chemistry, materials compatibility, filtration, flushing, cleanliness, leak detection, and fluid management.
- Review partner designs, vendor submittals, equipment selections, and construction documents for compliance with Lambda standards.
- Coordinate cooling interfaces across hardware engineering, electrical engineering, controls, construction, commissioning, and operations.
- Support equipment testing, construction sequencing, commissioning, cooling-system bring-up, and initial GPU loading.
- Investigate thermal events and cooling failures, incorporating lessons into future designs and operating standards.
- Travel to project sites, manufacturers, and partner facilities as needed.
You
- Have experience designing cooling systems for data centers, mission-critical facilities, central plants, or large industrial environments.
- Understand hydronic design, heat transfer, pumping, heat exchangers, chilled-water systems, and heat-rejection equipment.
- Have experience with direct-to-chip liquid cooling, CDUs, technology cooling-water loops, or other high-density cooling systems.
- Can develop and review P&IDs, equipment specifications, mechanical layouts, and engineering calculations.
- Can model system capacity, flow, pressure loss, temperature approach, and performance across varying operating conditions.
- Understand cooling-system redundancy, failure domains, thermal ride-through, maintainability, and operational risk.
- Understand the relationship between GPU behavior, rack density, coolant conditions, and facility cooling capacity.
- Can balance reliability, efficiency, water consumption, equipment cost, and delivery schedule.
- Communicate clearly across engineering, construction, operations, equipment vendors, and executive stakeholders.
- Hold a bachelor’s degree in mechanical engineering or equivalent practical experience.
Nice to Have
- Experience designing cooling for hyperscale, colocation, HPC, or AI data centers.
- Experience supporting multi-megawatt liquid-cooled GPU deployments.
- Experience with warm-water cooling, water-side economization, dry coolers, or adiabatic heat rejection.
- Familiarity with CFD, Pipe-Flo, AFT Fathom, Revit, or comparable engineering tools.
- Knowledge of coolant chemistry, glycol systems, corrosion control, filtration, and wetted-material compatibility.
- Familiarity with ASHRAE TC 9.9 guidance and liquid-cooling industry standards.
- Experience with factory testing, commissioning, integrated systems testing, or live system bring-up.
- Professional Engineer licensure or progress toward licensure.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Data Center Implementation Manager
Lambda · United States
Pay
$191k–255k
Setting
Remote
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
Travel: 50% , Travel required to various data center sites.
What You’ll Do
As a Data Center Implementation Manager, you will lead the end-to-end execution of multiple concurrent data center infrastructure projects, spanning Greenfield builds, colocation white space fit-outs, equipment upgrades, and lifecycle replacements. You’ll serve as the single point of contact for all construction activities on your assigned projects, coordinating closely with data center providers, MEP contractors, and internal stakeholders.
Your role includes overseeing construction schedules and budgets, managing OFCI equipment procurement and installation, conducting design reviews, and driving alignment across cross-functional teams including electrical, mechanical, low voltage, and network engineering. You’ll also contribute to continuous improvement initiatives, integrating emerging technologies and design innovations into our infrastructure strategy.
Key Responsibilities
- Project Leadership & Oversight:
- Manage the build out of multiple data center projects concurrently, from detailed design to physical build out, including Greenfield construction projects, colocation white space fitouts, equipment upgrades, and end-of-life replacements. Oversee the work of MEP Contractors and Equipment Suppliers during the build out process.
- Internal Coordination with SMEs:
- Coordinate with internal Subject Matter Experts (SMEs) across various disciplines, including electrical, mechanical, and low voltage, to ensure project requirements, technical specifications, and solutions are properly aligned.
- Budget & Schedule Coordination:
- Work with our Data Center Providers and Contractors to prepare, review, and monitor project schedules, budgets, and forecasts for design and construction expenditures.
- OFCI Equipment Management:
- Review and evaluate OFCI (Owner-Furnished, Contractor-Installed) equipment submittals, providing recommendations to the Construction Management team and Procurement teams.
- Design Reviews:
- Participate in page-turn meetings with consultants, providing feedback on designs, Sequence of Operations, Basis of Design documents, and commissioning plans.
- Vendor Management:
- Assist with RFPs for OFCI Equipment and Data Center Whitespace Fit Outs, evaluation of proposals, selection of vendors, and oversight on alignment with project budgets and schedules.
- Project Reporting:
- Prepare and deliver detailed project reports to both executive leadership and project teams, track project budgets, schedules, scope objectives, and progress.
- Stakeholder Communication:
- Provide regular project updates to internal and external stakeholders, both informally and formally.
- Design Coordination & Site Visits:
- Conduct site visits during construction to review design implementation, assess construction progress, and ensure adherence to design specifications, quality standards, and project requirements.
- Cross-functional Collaboration:
- Collaborate closely with cross-functional teams, including Network Engineering, Data Center Operations, HPC, Supply Chain and Technical Project Management to ensure alignment with business objectives and project deliverables. Serve as a liaison between internal teams and external contractors or vendors, ensuring clear and effective communication.
- Transformation & Design Improvements:
- Contribute to internal design team meetings, proposing and exploring new technologies or design concepts to enhance project outcomes. Stay up to date with industry trends and integrate innovative solutions into project designs.
Ideal Candidate Profile
- Proven experience managing data center construction projects, including Greenfield builds, colocation fit-outs, and infrastructure upgrades.
- Strong understanding of MEP systems and construction practices, with hands-on experience coordinating with electrical, mechanical, and low voltage SMEs.
- Skilled in managing OFCI equipment procurement, submittal review, and installation oversight.
- Effective communicator with the ability to serve as the single point of contact for construction activities and maintain alignment across internal and external stakeholders.
- Proficient in tracking and managing project schedules, budgets, and forecasts in collaboration with contractors and data center providers.
- Experienced in participating in design reviews and commissioning processes, with the ability to provide meaningful technical feedback.
- Comfortable conducting on-site inspections to verify construction quality, design adherence, and progress.
- Familiar with vendor RFP processes, proposal evaluation, and managing vendor performance to budget and timeline expectations.
- Highly organized, with a strong ability to prepare detailed project reports and communicate updates to both executive leadership and project teams.
- Collaborative team player with cross-functional experience working alongside Network Engineering, Data Center Operations, HPC, Supply Chain, and TPM organizations.
- Passionate about continuous improvement and staying current with industry trends, technologies, and best practices in data center design and delivery.
Top Five Requirements
1. End-to-End Data Center Construction Experience:
- Proven track record managing full lifecycle data center projects, colocation fit-outs, and infrastructure upgrades.
2. Strong MEP & OFCI Coordination Skills:
- Deep understanding of mechanical, electrical, and low voltage systems, with experience reviewing OFCI submittals and coordinating with design and construction teams.
3. Project Budget & Schedule Management:
- Demonstrated ability to manage construction budgets, track project schedules, and work with vendors and providers to meet critical deadlines and cost targets.
4. Cross-Functional Communication & Stakeholder Management:
- Excellent interpersonal skills, capable of serving as the single point of contact for construction and aligning internal stakeholders, external contractors, and data center providers.
5. On-Site Construction Oversight & Quality Assurance:
- Ability to perform regular site visits to monitor construction progress, validate design implementation, and ensure adherence to project specifications and quality standards.
Qualifications
- Bachelor’s degree in Engineering, Construction Management, or a related field (or equivalent practical experience).
- 10+ years of experience managing data center construction or critical infrastructure projects.
- Strong knowledge of MEP systems, including coordination with electrical, mechanical, and low voltage trades.
- Proficient in reviewing technical design documents, including Basis of Design, Sequence of Operations, and commissioning plans.
- Demonstrated experience managing OFCI equipment procurement, submittals, and installation processes.
- Strong documentation and writing skills, with the ability to create clear, concise project documents, decision-making documents, and instructional materials.
- Proven ability to work in a fast-paced environment and manage multiple priorities effectively.
- Strong analytical skills, with the ability to make data-driven decisions and solve complex problems.
- Skilled in construction schedule and budget management, including forecasting, tracking, and reporting.
- Familiarity with project management tools (e.g., MS Project, Primavera, Smartsheet) and construction tracking/reporting platforms.
- Excellent communication and interpersonal skills, with the ability to collaborate across teams and effectively engage with stakeholders.
- Passion for continuous improvement, with a proactive mindset for integrating new technologies and design innovations.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Manager, Detection and Response
Lambda · Bellevue, Washington, United States
Pay
$324k–480k
Setting
Hybrid
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Bellevue, San Francisco, or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
About the Role
Lambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.
Reporting to the CISO, you'll lead the Detection & Response team that acts as an intelligent backstop—ensuring Lambda is the safest place to build with AI by catching security issues in real-time while enabling our business to move at hypergrowth velocity. Your team will transform reactive security operations into a proactive threat management engine, dedicating the majority of their effort to automation, threat hunting, and capability building rather than constant firefighting.
Your team will directly affect customers’ trust in the safety of their data by implementing enterprise-grade detection capabilities, automating incident response workflows, and hardening our multi-cloud and bare metal infrastructure while you are building sustainable programs where senior engineers thrive solving novel security challenges. With unique access to LLMs hosted on our own infrastructure, your team will pioneer AI-powered security solutions that wouldn't be possible anywhere else. Key priorities include 24/7 operational coverage, maintaining customer trust through rapid incident response, and delivering a comprehensive D&R strategy within your first 6 months.
If you're excited about building security operations so efficient that they're "almost boring," where automation handles the routine so your team can focus on the novel, we want to talk.
We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for a Senior Manager role. Your application is not a waste of our time.
What You’ll Do
Team Leadership & Management:
- Build, hire, and lead a high-performing Detection & Response team that can scale with Lambda's hypergrowth while maintaining 24/7 operational excellence
- Define team processes, culture, and operating rhythms that balance startup agility with security discipline, creating an environment where senior engineers thrive on automation and novel challenges
- Conduct regular one-on-ones, provide constructive feedback, and create clear career development paths that help security engineers advance their technical and leadership skills
- Drive outcomes by managing project priorities, deadlines, and deliverables while establishing our blameless post-incident culture focused on systemic improvements rather than individual accountability
Technical Strategy & Execution:
- Define and implement threat management frameworks that transform reactive security operations into proactive threat hunting and detection, establishing automation standards that eliminate repetitive work and enable your team to focus on novel challenges
- Architect incident response processes, escalation frameworks, and triage protocols that protect Lambda from impact while scaling with the company’s growth
- Guide technology choices and evangelize new security tools, including pioneering AI-powered detection capabilities using our direct access to state-of-the-art LLMs
Strategic Collaboration & Business Impact:
- Create data-driven insights showing where we are reacting most frequently to guide investments in preventative controls
- Partner with Product and Platform engineering teams to evolve our detection and response capabilities as Lambda’s infrastructure grows
- Lead cross-functional collaboration during critical events and establish executive reporting that translates technical incidents into business impact while driving blameless post-incident reviews to continuously strengthen security posture
Operational Excellence & Scaling:
- Drive weekly operations reviews that ensure nothing falls through the cracks while building institutional knowledge and defining repeatable processes from every incident
- Define sustainable on-call rotations and operational procedures that maintain 24/7 coverage without burning out senior engineers
- Establish the team's 6-month strategic roadmap for comprehensive D&R capabilities while defining success criteria and measurable outcomes
What We Think a Candidate Needs to Demonstrate to Succeed
- 10+ years of security experience with 5+ years leading technical teams, demonstrating ability to build and manage independently
- Proven ability to define and build security programs from the ground up that accelerate business initiatives, with demonstrated experience establishing team processes, technical frameworks, and cross-functional partnerships
- Excellence at building automation-first security programs where technology eliminates toil and teams never do the same thing twice
- Clear understanding of the unique requirements of securing a cloud infrastructure provider
- Proven ability to create sustainable team cultures where senior engineers thrive long-term rather than burning out on repetitive tasks
- Strong judgment in security response, understanding real business impact and calibrating actions proportionally
- Track record of translating technical security work into executive communications and business-aligned metrics
- Thrives in high-ambiguity environments where you must build structure while executing at startup pace
Nice to Have
- Excitement about leveraging our direct access to state-of-the-art LLMs to revolutionize security operations—imagine AI-powered threat hunting, automated security report generation, and intelligent vulnerability prioritization at a scale only possible when you host the AI infrastructure yourself.
- Experience building D&R programs at AI/ML companies
- Track record using AI/ML for security operations automation (yes, we know it’s all brand new)
- Background scaling security during hypergrowth (10x growth phases)
- Deep technical background allowing hands-on contribution when needed
- Experience with both build and buy decisions for security tooling
- Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.
Construction Administrator
Lambda · San Jose, California, United States
Pay
$155k–207k
Setting
Hybrid
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
Travel: 15% , Primarily a back-office role with occasional travel to data center sites.
What You’ll Do
As a Construction Administrator, you will be the back-office backbone of Lambda’s data center build program. You will take in contractor schedules, submittals, drawings, RFIs, and change documentation across a portfolio of concurrent projects and turn them into a single clean, current, and trustworthy picture of where every project stands.
You will distill dense contractor schedules into the milestone views leadership actually uses, maintain rigorous document control across the full project lifecycle, and run the reporting cadence that keeps the DCIE team, our data center providers, and our contractors aligned. This role reports to the Data Center Implementation Manager and works daily with the Implementation Project Managers, field teams, procurement, and finance.
Key Responsibilities
- Schedule Distillation & Analysis:
- Ingest contractor and vendor schedules across multiple concurrent projects. Extract critical path, key milestones, long-lead deliveries, and float consumption, and roll them into consolidated program-level and executive-level schedule views. Flag slippage, sequencing conflicts, and milestone risk before they surface in the field.
- Master Schedule Maintenance:
- Maintain Lambda’s integrated program schedule and milestone tracker. Reconcile contractor updates against baseline, maintain revision history, and keep OFCI delivery dates, commissioning windows, and capacity ready-for-service dates aligned.
- Document Control:
- Own the project document control system end to end: drawing registers, specifications, submittal logs, RFI logs, transmittals, meeting minutes, permits, inspection records, and as-builts. Enforce naming conventions, revision control, and access permissions so every stakeholder is working from the current set.
- Submittal & RFI Administration:
- Log, route, and track submittals and RFIs to the correct internal reviewers. Monitor turnaround against contractual review windows, chase overdue responses, and maintain a clean audit trail of decisions and approvals.
- Change & Cost Documentation:
- Track change orders, change directives, and potential change items from initiation through disposition. Maintain supporting documentation and reconcile the change log against budget trackers, purchase orders, and invoices in coordination with procurement and finance.
- Reporting Cadence:
- Produce the recurring reporting package: weekly project status reports, milestone dashboards, open-item and risk registers, and monthly program summaries for executive leadership. Ensure figures tie out across schedule, cost, and field reporting.
- Meeting & Action Item Support:
- Prepare agendas and materials for OAC, design review, and page-turn meetings. Capture minutes and decisions, publish action items with owners and due dates, and drive follow-through to closure.
- Records, Turnover & Closeout:
- Assemble and quality-check closeout packages including as-builts, O&M manuals, warranties, commissioning reports, and training records. Ensure complete and timely handoff to Data Center Operations and Facilities.
- Systems & Process Ownership:
- Administer and improve the project management and documentation platforms used by DCIE. Build templates, trackers, and automated reporting that reduce manual effort and standardize how projects are run.
- Standards Library Management:
- Maintain Lambda’s controlled library of Basis of Design documents, standard details, specifications, and internal procedures, keeping versions current and accessible across the team.
- Cross-functional Support:
- Support Network Engineering, Data Center Operations, HPC, Supply Chain, and TPM with accurate schedule and documentation inputs so downstream deployment planning is built on current data.
Ideal Candidate Profile
- Experienced in construction administration, project controls, or document control on complex construction or critical infrastructure programs.
- Able to read a contractor schedule critically rather than just repackage it, understanding logic ties, float, critical path, and where a schedule is telling an optimistic story.
- Genuinely organized, with a strong instinct for version control, naming discipline, and single sources of truth.
- Comfortable with construction drawings, specifications, submittals, and RFIs, and with the vocabulary of MEP and mission-critical work.
- Strong with data and reporting tools, able to turn scattered inputs into a clean dashboard without a week of manual assembly.
- Persistent and diplomatic in chasing overdue responses from contractors, vendors, and internal reviewers.
- Clear written communicator who can summarize status for executives without losing the detail that matters.
- Self-directed and dependable on a recurring reporting cadence across multiple projects at once.
- Improvement-minded, always looking to templatize and automate repetitive project administration.
- Discreet and careful with confidential contract, cost, and vendor information.
Top Five Requirements
1. Construction Scheduling Fluency:
- Demonstrated ability to interpret, analyze, and distill contractor schedules into milestone and executive-level views, including critical path and float analysis.
2. Document Control Discipline:
- Proven ownership of drawing registers, submittal and RFI logs, revision control, transmittals, and as-built and closeout documentation.
3. Project Reporting & Data Skills:
- Ability to build and maintain accurate recurring status reports, dashboards, and trackers across multiple concurrent projects.
4. Tools Proficiency:
- Hands-on experience with project management and documentation platforms such as Primavera P6, MS Project, Procore, Smartsheet, and advanced spreadsheet work.
5. Stakeholder Coordination & Follow-Through:
- Track record of driving action items, review turnarounds, and documentation compliance across internal teams, contractors, and providers.
Qualifications
- Bachelor’s degree in Construction Management, Engineering, Business, or a related field (or equivalent practical experience).
- 4+ years of experience in construction administration, project controls, document control, or project coordination, ideally on data center or mission-critical projects.
- Working knowledge of construction schedules, including critical path method, milestones, float, and lookahead planning.
- Familiarity with construction documentation workflows: drawings, specifications, submittals, RFIs, change orders, and closeout packages.
- Proficiency with Primavera P6 or MS Project, plus documentation and collaboration platforms (e.g., Procore, Smartsheet, SharePoint, Google Workspace, Jira, Monday.com http://Monday.com).
- Advanced spreadsheet skills, with the ability to build clean trackers, pivots, and reporting views. Experience with dashboarding or light automation is a plus.
- Strong written communication and documentation skills, with attention to accuracy and consistency.
- Highly organized, able to manage competing deadlines across multiple concurrent projects with minimal supervision.
- Basic understanding of MEP systems and construction sequencing sufficient to interpret technical documents and ask the right questions.
- Willingness to travel occasionally to data center sites (~15%) for turnover, closeout, or program milestones.
- Committed to continuous improvement in project delivery, documentation standards, and reporting practices.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.
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