Senior HPC Systems Validation Engineer

Lambda Inc.; San Jose (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Cash & equity compensation

Health, dental & vision coverage for您

Job summary

Lambda Inc. in San Jose is seeking an experienced Hardware Engineer to lead system integration validation across HPC/AI platforms, from NPI to deployment. You will drive functional, stress and reliability testing, coordinate across fleet, infrastructure, and PMO teams, and own lab setups for repeatable hardware evaluation.

The role requires deep expertise in hardware validation, performance benchmarking, and vendor engagement to ensure production-ready platforms for AI workloads.

Qualifications

• 5+ years in hardware integration validation or related fields.
• Experience with HPC, data centre, or cloud infra hardware.
• Proficient in system integration testing and benchmarking at high levels.

Responsibilities

• Own system integration validation for HPC/AI hardware during NPI and deployment.
• Develop and execute functional, stress, reliability tests; enable scale testing.
• Collaborate across teams to enable automation and large-scale benchmarking.
• Manage firmware/software compatibility during NPI and post-production.
• Support root-cause analysis and improve product reliability.
• Set up lab/test infrastructure for repeatable hardware evaluation.
• Engage with vendors for hardware validation and manufacturing testing.
• Drive validation plans for key components (memory, SSDs, NICs, PSUs, etc).

Skills

Hardware integration

Fleet reliability engineering

Performance benchmarking

NPI cycles

Vendor management

Lab/test automation

Root cause analysis

Education

Bachelor's degree in Electrical Engineering

Tools

BMC

BIOS configurations

NIC configurations

Job description

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 Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Hardware Engineering at Lambda is responsible for building and scaling the physical infrastructure powering all of Lambda's products. Our scope spans the full hardware lifecycle: roadmap and architecture, proof‑of‑concept for state‑of‑the‑art platforms, new product introduction (NPI), and fleet‑scale operations — all engineered for gigawatt‑scale AI factories with rack‑first design, advanced liquid cooling, and next‑generation interconnects at the cutting edge of the industry. If you want your hardware work running at the frontier of AI compute, at a scale few teams in the industry operate at, this is that team.

What You’ll Do

• Own system integration validation for new HPC AI/ML, general purpose compute, storage, and network hardware platforms throughout hardware NPI and deployment readiness.
• Development and execution of functional, stress, reliability, error‑injection and benchmark tests on new hardware systems. Enable automated tools for doing scale testing.
• Collaborate with HPC deployment and operation teams, fleet engineering teams, infrastructure engineering and PMO teams to facilitate tooling automation and L10/L11/L12 level benchmarking throughout hardware NPI and at new hardware deployment.
• Manage the firmware and software compatibility, track and recommend firmware and software releases during NPI, support HPC operation team on firmware and software maintenance after production release.
• Support RMA team on critical hardware issues’ triage and Root‑Cause‑Analysis after deployment; own fleet hardware issues’ failure correlation, trend analysis, close the loop with Platform Hardware Engineer and Quality team to improve product reliability.
• Own hands‑on lab setup and test infrastructure for repeatable hardware evaluation, partnering with Platform Hardware Engineer, Data Center Engineering, and Cluster Network Design to ensure new platforms can be brought up, instrumented, stressed, benchmarked, and debugged consistently.
• Manage hardware vendors regarding hardware validation and manufacturing testing; support new vendor evaluation and Quarterly Business Review on hardware vendors.
• Drive alternate component qualification from technical evaluation through PLM enablement, develop and execute validation plans for key commodities such as memory, SSDs, NICs, PSUs, PDUs, fans, cables, optics, and transceivers.

You

• 5 years of experience in one or many of the following areas: hardware integration validation, fleet hardware reliability engineering, component qualification, performance validation for HPC, data center, or cloud infrastructure products.
• Possess deep knowledge in system integration testing and performance benchmarking at one or many of the L10, L11 and L12 levels.
• Experiences in validation of one or many of the following server hardware platforms: AI/ML, general compute (x86 and ARM), storage systems, or network switches.
• Hands‑on experiences with vendor‑led product NPI cycles and can drive hardware validation, issues triage, debugging and root cause in both NPI and after production at scale.
• Collaborate well across architecture, hardware and datacenter engineering, supply chain, fleet and infrastructure engineering, HPC deployments and operations, and vendor engineering teams to deliver complete, production‑ready hardware solutions.
• Strong ownership and can do attitude; self‑starter who feels comfortable working in ambiguity.

Nice to Have

• 10+ years of experience in one or many of the following areas: hardware integration validation, fleet hardware reliability engineering, component qualification, performance validation for HPC, data center, or cloud infrastructure products.
• Experience supporting AI/ML infrastructure and accelerated compute hardware (e.g., NVIDIA, AMD, Intel).
• Experience in acceptance testing to enable large scale hardware deployments.
• Deep knowledge in BMC, BIOS settings and network card configurations.
• Proficient in validating, issue triaging, benchmarking and performance tuning for rack‑scale servers at L10, L11, L12 levels.
• Working knowledge of infrastructure toolings for asset management, provisioning, hardware lifecycle management, etc.
• Working knowledge in PLM systems and BOM structure.

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.

Benefits

• 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.