Lambda
Senior HPC Systems Validation Engineer
San Jose Office (Zanker) · Senior
Sponsorship not specifiedDetected 1 day ago
Cloud PlatformsMachine LearningSupply ChainHardware DesignResearch
About the role
- 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.
Responsibilities
- Own system integration validation for new HPC AI/ML, general purpose compute, storage, and network hardware platforms throughout hardware NPI and deployment readiness.
- 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.
- 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.
Nice to have
- 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.
Skills
- Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
- One person, one GPU.
Compensation
- 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.
- We offer generous cash & equity compensation
Benefits
- We have research papers accepted at 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
- Flexible paid time off plan that we all actually use
Company info
- We offer generous cash & equity compensation
- 401k Plan with 2% company match (USA employees)
Equal opportunity
- 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.
- Equal Opportunity Employer
Visa & Work Authorization
- ational 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
This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.