Lambda
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Staff HPC Hardware Engineer
role at
Lambda 1 day ago Be among the first 25 applicants Join to apply for the
Staff HPC Hardware Engineer
role at
Lambda This range is provided by Lambda. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$349,000.00/yr - $581,000.00/yr We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be.
If you'd like to build the world's best deep learning cloud, join us.
Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
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
Serve as the technical lead for integrating OEM and white-label compute, storage, and network hardware into Lambda’s HPC platform reference architectures. Drive the end-to-end process of new product introduction (NPI) for hardware systems, including evaluation, validation, documentation, and production readiness. Partner with architects to translate platform blueprints into concrete hardware selections and system configurations. Work cross-functionally with design, engineering, operations, and vendor engineering teams to ensure compatibility, performance, and scalability of new systems. Identify and resolve hardware issues across thermal, power, firmware, and mechanical domains during evaluation and bring-up cycles. Provide technical guidance during vendor engagements and benchmarking of next-generation platforms.
You
Have 7+ years of experience in hardware integration or systems engineering for HPC, data center, or cloud infrastructure environments. Possess deep knowledge of server hardware platforms (x86 and ARM), PCIe accelerators, storage devices, and network fabrics. Are experienced with vendor-led product development cycles and can drive hardware evaluation, risk mitigation, and feedback into roadmap decisions. Can interpret platform-level architecture requirements and select or adapt OEM solutions to fit. Are comfortable working hands-on in labs with rack-scale deployments, BIOS/firmware tuning, and performance validation. Collaborate well across architecture, design, engineering, and vendor teams to deliver complete, production-ready hardware solutions.
Nice to Have
Experience supporting AI/ML infrastructure and accelerated compute hardware (e.g., NVIDIA, AMD, Intel). Familiarity with system thermals, power delivery, or integration at rack-scale. Exposure to BMC/Redfish/IPMI configuration and automation. Background in performance tuning, benchmarking, and systems validation workflows. Prior experience contributing to reference designs or large-scale infrastructure blueprints.
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, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG 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
A Final Note
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
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.
Compensation Range: $349K - $581K Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Lambda by 2x Get notified about new Staff Hardware Engineer jobs in
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Staff HPC Hardware Engineer
role at
Lambda 1 day ago Be among the first 25 applicants Join to apply for the
Staff HPC Hardware Engineer
role at
Lambda This range is provided by Lambda. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$349,000.00/yr - $581,000.00/yr We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be.
If you'd like to build the world's best deep learning cloud, join us.
Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
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
Serve as the technical lead for integrating OEM and white-label compute, storage, and network hardware into Lambda’s HPC platform reference architectures. Drive the end-to-end process of new product introduction (NPI) for hardware systems, including evaluation, validation, documentation, and production readiness. Partner with architects to translate platform blueprints into concrete hardware selections and system configurations. Work cross-functionally with design, engineering, operations, and vendor engineering teams to ensure compatibility, performance, and scalability of new systems. Identify and resolve hardware issues across thermal, power, firmware, and mechanical domains during evaluation and bring-up cycles. Provide technical guidance during vendor engagements and benchmarking of next-generation platforms.
You
Have 7+ years of experience in hardware integration or systems engineering for HPC, data center, or cloud infrastructure environments. Possess deep knowledge of server hardware platforms (x86 and ARM), PCIe accelerators, storage devices, and network fabrics. Are experienced with vendor-led product development cycles and can drive hardware evaluation, risk mitigation, and feedback into roadmap decisions. Can interpret platform-level architecture requirements and select or adapt OEM solutions to fit. Are comfortable working hands-on in labs with rack-scale deployments, BIOS/firmware tuning, and performance validation. Collaborate well across architecture, design, engineering, and vendor teams to deliver complete, production-ready hardware solutions.
Nice to Have
Experience supporting AI/ML infrastructure and accelerated compute hardware (e.g., NVIDIA, AMD, Intel). Familiarity with system thermals, power delivery, or integration at rack-scale. Exposure to BMC/Redfish/IPMI configuration and automation. Background in performance tuning, benchmarking, and systems validation workflows. Prior experience contributing to reference designs or large-scale infrastructure blueprints.
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, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG 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
A Final Note
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
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.
Compensation Range: $349K - $581K Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Lambda by 2x Get notified about new Staff Hardware Engineer jobs in
San Jose, CA . Sr. Staff Hardware Platform Board Design Engineer (Infotainment)
Palo Alto, CA $213,400.00-$266,300.00 2 weeks ago Principal Hardware Engineer - Quality & Reliability
San Jose, CA $225,000.00-$325,300.00 4 days ago Senior Engineer, System Architecture (Hardware/ASIC)
Senior Staff Engineer, Hardware Design TPL
San Jose, CA $150,735.00-$236,250.00 2 weeks ago Senior Hardware Reliability Engineer, Systems Engineering
Sr. Hardware Safety Compliance Engineer, Hardware Safety & Compliance
Sunnyvale, CA $128,600.00-$213,600.00 2 weeks ago Sunnyvale, CA $128,600.00-$213,600.00 2 weeks ago Sunnyvale, CA $128,600.00-$213,600.00 1 day ago Hardware Engineer, Platforms, University Graduate
Sunnyvale, CA $105,000.00-$151,000.00 5 days ago Mountain View, CA $195,000.00-$235,000.00 2 months ago Menlo Park, CA $139,000.00-$200,000.00 2 weeks ago Hardware Lab Engineer (L4) - Open Connect
Mountain View, CA $130,000.00-$160,000.00 1 month ago Sunnyvale, CA $120,000.00-$140,000.00 2 weeks ago San Jose, CA $180,000.00-$200,000.00 1 month ago San Jose, CA $90,000.00-$148,000.00 1 month ago San Jose, CA $140,800.00-$183,000.00 1 week ago Staff Hardware Engineer, Display and Interfaces, Google Beam
Mountain View, CA $174,000.00-$258,000.00 4 days ago Electrical Hardware Engineer (New Grad/Early Career)
Mountain View, CA $100,000.00-$143,000.00 2 months ago Staff Hardware Electronics Engineer (EMS)
Platform Hardware Engineer (Senior and Junior)
Mountain View, CA $147,000.00-$216,000.00 1 week ago San Jose, CA $147,000.00-$165,000.00 2 weeks ago Senior Hardware Design Engineer, Ethernet Switching
Santa Clara, CA $130,000.00-$192,000.00 1 day ago Mountain View, CA $147,000.00-$216,000.00 2 weeks ago Staff Hardware Electronic Design Engineer, Infotainment
Staff Hardware Engineer – Connectivity Modules
Mountain View, CA $168,000.00-$258,800.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr