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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.
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.
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