Staff HPC Hardware Engineer

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.

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.