Senior HPC Systems Validation Engineer

Lambda; San Jose (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health coverage

Dental coverage

Vision coverage

Wellness stipend

Commuter stipend

401k with match

Flexible PTO

Job summary

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure based in San Jose. This role focuses on validating and integrating server hardware for HPC AI/ML deployments, driving NPI readiness, and collaborating across engineering, supply chain, and operations to deliver production-grade hardware solutions.

You will own hands-on lab setups, run comprehensive tests, and coordinate with vendors to qualify components while supporting RMA and reliability initiatives.

Qualifications

• 5 years of experience in hardware integration validation or related roles.
• Experience with fleet hardware reliability engineering and component qualification.
• Knowledge of performance benchmarking for HPC, data center, or cloud infrastructure.
• Experience with vendor-led NPI cycles and production support.

Responsibilities

• Own system integration validation for new HPC AI/ML hardware platforms throughout NPI and deployment readiness.
• Develop and execute functional, stress, reliability, and benchmark tests on new hardware systems.
• Collaborate with multiple engineering and PMO teams to enable tooling automation and benchmarking.
• Manage firmware and software compatibility, and advise on releases during NPI and production.
• Support RMA triage and root-cause analysis to improve product reliability.
• Set up labs and test infrastructure for repeatable hardware evaluation and debugging.

Skills

Hardware integration validation

Fleet hardware reliability

Component qualification

Performance validation

NPI coordination

Tools

PLM systems

BOM structure

BIOS settings

Firmware testing

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.

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.

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.