Lambda
Staff HPC Systems Architect
San Jose Office (First St) · Staff+
Sponsorship not specified$10k-$100kDetected 32 days ago
Cloud PlatformsKubernetesMachine LearningEmbedded SystemsResearchCommunicationCollaboration
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70
Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
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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
- Develop compute system standards and design patterns to ensure consistency, performance, and maintainability across infrastructure.
- Collaborate with product and engineering teams to map workload requirements to compute platform capabilities across bare metal and cloud deployments.
- Define compute platform roadmaps and architectural reference designs that guide hardware selection, firmware baselines, rack-level, and cluster design.
- Act as a technical lead during new platform introductions, guiding validation and performance characterization efforts.
- 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
Requirements
- Strong understanding of system performance tuning, resource scheduling, thermal and power optimization, and compute lifecycle management.
Nice to have
- Hands-on experience with AI/ML workloads and their compute performance characteristics.
- Familiarity with orchestration tools used in HPC. (Slurm, Kubernetes, etc)
- Experience with virtualization technologies, specifically GPU virtualization.
- Exposure to hardware validation, vendor collaboration, and long-term OEM roadmap alignment.
- Background in compute telemetry, real-time performance profiling, or large-scale A/B infrastructure testing.
- 401k Plan with 2% company match (USA employees)
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
- 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.
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.