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Technical Program Manager - Data Center Infrastructure Delivery
Lambda · United States
$214k–284k
11 days ago
♡
Principal Data Center Supply Chain Lead
Lambda · San Jose, California, United States
$211k–331k
24 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.
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 Electrical Delivery Engineer
Lambda · United States
Pay
$252k–395k
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.
What You’ll Do
- Perform site walkdowns to verify installed electrical systems against approved designs, single-line diagrams, specifications, submittals, and Lambda standards.
- Validate equipment ratings, protection settings, phasing, grounding and bonding, terminations, labeling, redundancy, and electrical failure domains.
- Identify installation deficiencies, design conflicts, and operational risks; document punch-list items and drive them through closure.
- Review construction test results and witness factory acceptance testing, site acceptance testing, functional testing, and integrated systems testing.
- Develop and review energization plans, MOPs, SOPs, EOPs, switching procedures, and electrical safety controls.
- Support initial energization and troubleshoot issues involving substations, transformers, switchgear, UPS systems, generators, busway, PDUs, RPPs, and rack-level distribution.
- Coordinate with design engineers, engineering partners, utilities, general contractors, electrical trades, equipment manufacturers, commissioning agents, operations, and HPC deployment teams.
- Confirm that electrical capacity, voltage, redundancy, monitoring, and protection are ready before IT equipment is energized.
- Validate as-built documentation, equipment settings, test reports, commissioning records, and turnover packages before operational handoff.
- Capture field lessons and incorporate them into Lambda’s design standards, commissioning requirements, and site-validation playbooks.
- Mentor other engineers and provide senior technical leadership during high-risk energization and bring-up activities.
You
- Have significant experience delivering, commissioning, or operating electrical systems in data centers, mission-critical facilities, utilities, or large industrial environments.
- Understand both medium- and low-voltage distribution, including transformers, switchgear, protective relays, generators, UPS systems, busway, grounding, and rack-level power.
- Can interpret single-line diagrams, equipment submittals, protection studies, relay settings, test reports, and construction documentation.
- Have hands-on experience with site inspections, electrical testing, energization, commissioning, or operational turnover.
- Understand electrical safety, lockout/tagout, energized work controls, and applicable NEC, NFPA 70E, IEEE, and NETA requirements.
- Can distinguish between cosmetic deficiencies and conditions that create material safety, reliability, or operational risk.
- Are comfortable making decisions in the field, escalating critical issues, and coordinating corrective work under schedule pressure.
- Communicate clearly with construction teams, engineers, vendors, operators, and senior stakeholders.
- Are willing to travel extensively and spend extended periods at active construction and commissioning sites.
- Hold a bachelor’s degree in electrical engineering or equivalent practical experience.
Nice to Have
- Experience commissioning hyperscale, colocation, HPC, or AI data centers.
- Experience supporting first energization and initial IT-load or GPU-cluster bring-up.
- Familiarity with Level 1–5 commissioning, integrated systems testing, and operational-readiness processes.
- Experience with protective-relay testing, breaker testing, insulation-resistance testing, power-quality analysis, or infrared inspections.
- Experience using tools such as ETAP, SKM, EasyPower, Procore, Bluebeam, or commissioning-management platforms.
- Experience investigating electrical failures and leading root-cause analysis.
- Professional Engineer licensure, commissioning certification, or NETA-related 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 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.
Technical Success Engineer
Lambda · United States
Pay
$214k–285k
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 or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
About this role
The Superintelligence Technical Success Engineer is part of Lambda's Superintelligence business unit, dedicated to our largest, most strategic customers operating in the most complex environments. This role owns taking signed deployment from contract to a live, fully operational production environment. The role requires strong technical acumen to validate the build against what was promised, spot gaps, and work effectively with engineering and infrastructure teams to get issues resolved and requirements clearly understood.
You'll work alongside the account team, to make sure the customer's requirements and expectations are clearly understood and addressed throughout deployment. This role calls for someone who's ready to dive in wherever the engagement needs them.
What You'll Do
- Take signed deployments, from contract, to live, to working production environments, validating configuration, connectivity, storage, and compute against what was promised
- Bring technical depth to validation and troubleshooting conversations — asking the right questions, spotting gaps, and working closely with engineering and infrastructure teams to drive issues to resolution
- Coordinate with Infrastructure, Engineering, Product, and Data Center teams to close technical dependencies and resolve blockers
- Own a current, accurate technical picture of the deployment — what's built, what's open, what's at risk
- Keep stakeholders informed with clear, regular status updates: RAG status, top risks, and what's being done about them
- Guide the customer through onboarding to their first successful production workload
- Be the customer's go-to technical contact through deployment and early production
- Feed recurring technical patterns back into reusable runbooks, checklists, or automation
- Transition out once the customer is stable and self-sufficient, keeping the broader account team informed along the way
You
- 4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems
- Comfortable being the technical voice in the room able to validate builds, spot gaps, and hold engineering teams accountable for resolving them
- Strong troubleshooting instincts and a willingness to get into the weeds of networking, storage, or compute issues
- Track record of coordinating across engineering and infrastructure teams to close out technical dependencies
- Clear written and verbal communication for status updates and technical documentation
- A bias toward diving in and taking ownership, rather than waiting for a fully defined process
Nice to Have
- Exposure to large-scale GPU cluster deployments
- Familiarity with project/program tracking tools and structured status reporting
- Experience building runbooks or checklists that outlived the engagement they were built for
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 HPC Engineer - Fleet Engineering
Lambda · San Francisco, California, United States
Pay
$227k–356k
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 or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
- Build and operate monitoring and alerting for cluster health — fabric, GPU, power/thermal, and job-level signals — to detect and respond to issues proactively
- Remotely deploy and configure large-scale HPC clusters for AI workloads using automation wherever possible
- Automate cluster lifecycle: operating systems, firmware, drivers, and networking, managed as code (Ansible, Terraform) rather than by hand
- Create runbooks and automated remediations for common cluster failure modes, designed so Support and HPC Support can run them safely
- Troubleshoot and resolve cluster issues across InfiniBand/RoCE, NCCL, GPU-direct, fabric, switching, and power — working closely with on-site deployment teams
- Participate in on-call rotations and lead incident response for cluster-level problems
- Contribute to and maintain Standard Operating Procedures, and feed clear requirements back to other engineering teams on simplification, stability, and operational efficiency
You
- 7+ years of experience in Site Reliability Engineering, HPC Engineering, DevOps, or a similar role
- Have a strong understanding of modern AI infrastructure, from GPU architectures to hardware performance optimization
- Strong understanding of Linux-based systems in a distributed environment
- Are experienced configuring and troubleshooting InfiniBand (IB), RoCE, CLOS fabrics, 100GbE, Ethernet/switching, GPU-direct, and NCCL environments
- Solid understanding of Python and Go, with experience working with SWE teams to improve internal tooling.
- Experience with monitoring and alerting tools (e.g., Prometheus, Grafana, Clickhouse)
- Proficiency in automation and configuration management tools (e.g., Ansible, Terraform)
- Have excellent problem-solving and troubleshooting skills and an innate attention to detail
- Passion for continuous improvement and innovation
Nice to Have
- Experience with machine learning / deep learning frameworks (PyTorch, TensorFlow) and benchmarking tools (DeepSpeed, MLPerf)
- Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Experience building and/or operating HPC resources.
- Depth in the NVIDIA hardware and firmware ecosystem
- Experience with data center power and thermal design
- Background in chaos engineering or similar reliability testing methodologies
- Understanding of compliance frameworks (SOC 2, ISO 27001, etc.)
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 Incident Manager
Lambda · United States
Pay
$125k–195k
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.
We are seeking a Senior Incident Manager to lead critical incident response across our AI data center infrastructure. This role is responsible for coordinating rapid resolution of service-impacting events, improving operational resilience, and driving incident management best practices across infrastructure, networking, platform engineering, and data center operations.
Role Overview
The Senior Incident Manager is responsible for leading the end-to-end lifecycle of operational incidents impacting AI infrastructure and data center services. This individual acts as the central command point during major incidents, ensuring rapid triage, cross-team coordination, effective communication, and structured post-incident analysis.
This role requires deep operational expertise in high-availability infrastructure, large-scale GPU clusters, networking, and cloud platforms, along with strong leadership and communication skills.
What You’ll Do
Incident Leadership
- Lead the response to critical (SEV-1 / SEV-2) incidents impacting AI infrastructure, GPU clusters, networking, storage, and data center operations.
- Serve as the Incident Commander during major outages, coordinating engineering, networking, facilities, and vendor teams.
- Act as the liaison between leadership and external teams during incidents / post-incidents to provide updates and status summaries.
- Establish clear incident timelines, triage actions, and resolution plans.
Incident Management Operations
- Own the incident response lifecycle including:
- Assisting Technical Triage
- Escalation
- Coordination
- Resolution
Post-incident review
- Ensure timely and accurate communication with internal stakeholders and leadership.
- Maintain incident response documentation and operational playbooks.
- Conduct analysis on incidents and identify patterns / trends for improvement in response and systems reliability.
- Work in an On-Call Rotation to respond to, lead, and coordinate incidents
Cross-Functional Coordination
- Work closely with:
- Data center operations
- Infrastructure engineering & operations
- Network engineering
- Platform reliability engineering
- Security operations
- Hardware and facility vendors
- Drive alignment during outages involving multiple infrastructure layers.
Post-Incident Analysis & Continuous Improvement
- Lead post-incident reviews (PIRs) and root cause analysis. Identify systemic reliability gaps and implement corrective actions.
- Track incident metrics including MTTR, MTTD, and incident recurrence rates.
Operational Excellence
- Improve incident response processes, escalation paths, and tooling by working with technical support and engineering teams..
- Contribute to runbooks, operational standards, and reliability frameworks.
- Support implementation of automation and observability improvements.
Communication & Reporting
- Provide executive-level incident summaries and reports.
- Deliver clear, concise updates during active incidents.
- Maintain incident dashboards and operational health reporting.
You
- 8+ years experience in incident management, site reliability engineering, or infrastructure operations
- Experience managing incidents in large-scale distributed infrastructure environments
- Strong understanding of:
- Data center operations
- GPU compute clusters
Networking and storage infrastructure
- Cloud or hybrid infrastructure platforms
- Proven ability to lead high-pressure incident response situations
- Experience with incident management frameworks (ITIL, SRE, or equivalent)
- Excellent communication and stakeholder management skills
- Experience with incident tracking and monitoring tools such as:
- PagerDuty
- ServiceNow
- Jira
- Datadog
- Prometheus / Grafana
Nice to Have
- Experience operating AI or HPC infrastructure
- Background in SRE, infrastructure engineering, or data center operations
- Familiarity with high-density GPU environments (NVIDIA clusters, InfiniBand networks)
- Experience with hyperscale or colocation data center environments
- Knowledge of automation and incident response tooling
- Knowledge of and experience with Incident command system (ICS)
- Experience in leading and developing incident command from stractch
Key Competencies
- Incident Command & Leadership
- Operational Decision Making
- Cross-Team Coordination
- Root Cause Analysis
- Crisis Communication
- Infrastructure Reliability
What Success Looks Like in This Role
- Reduced Mean Time to Resolution (MTTR) for critical incidents
- Improved cross-team incident coordination
- High-quality post-incident reviews and corrective actions
- Increased infrastructure reliability and operational maturity
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.
Account CTO
Lambda · United States
Pay
$271k–425k
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.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You’ll Do
- Strategic Technology Leadership for Key Accounts
- Serve as the primary technical liaison for Lambda's strategic Superintelligence accounts
- Cultivate and sustain executive level technical relationships, establishing Lambda as a trusted technology partner and strategic advisor
- Drive multi-year technology roadmaps aligned with customer business objectives and Lambda's product portfolio
- Influence customer technology strategy and adoption at the executive level
- Represent Lambda at executive briefings, board meetings, and strategic planning sessions
- Own Technical Strategy and Business Outcomes
- Partner with Global Account teams to drive strategic account growth and expansion
- Lead architectural reviews and technology assessments at the enterprise level
- Define and articulate business value propositions, ROI models, and TCO analyses for executive stakeholders
- Orchestrate cross-functional teams including Solutions Engineers, Forward Deployed Engineers, Professional Services, and Product Management
- Own technical escalations and serve as the Executive Technical Sponsor for critical customer initiatives
- Drive adoption of Lambda's strategic initiatives within key accounts
- Technology Vision and Thought Leadership
- Establish yourself as a trusted advisor on AI/ML transformation and cloud strategy
- Guide customers through digital transformation journeys and emerging technology adoption
- Publish thought leadership content, speak at industry events, and represent Lambda in executive forums
- Influence Lambda's product strategy based on strategic customer needs and market trends
- Mentor and develop technical talent across the organization
You
- Have 15+ years of experience designing, deploying and scaling cloud infrastructure
- Have 6+ years of experience working directly with C-suite executives and senior leadership teams in advisory or consultative capacities
- Have 5+ years driving cloud transformation initiatives at enterprise scale
- Have proven track record of influencing C-suite executives and board-level stakeholders
- Have deep expertise in AI/ML technologies and their business applications
- Have experience with NVIDIA DGX/HGX/MGX systems, InfiniBand &RoCE networking, and large-scale GPU cluster deployments
- Have experience with storage architectures including distributed file systems, object storage, high-performance parallel file systems, and NVMe-based solutions
- Have hands-on experience with LLM training, fine-tuning, and inference at scale
- Have experience with enterprise architecture frameworks and governance models
- Have experience managing or influencing deals worth $1B+ annually
- Have strong business acumen with ability to translate technology into business outcomes
- Have experience navigating complex organizational dynamics and driving consensus
- Have track record of building strategic partnerships and alliances
- Excel at executive communication, presentation, and storytelling
- Demonstrate thought leadership through publications, speaking engagements, or industry recognition
Nice to Have
- MBA or advanced degree in Computer Science, Engineering, or related technical field
- Experience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenue
- Track record working with AI labs, research institutions, or frontier model companies
- Board advisory experience for technology companies
- Published peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale ML training 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.
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