Lambda
Commodity Sourcing Manager – AI Infrastructure
San Jose Office (Zanker) · Senior
Sponsorship not specifiedDetected 42 days ago
Cloud PlatformsMachine LearningNegotiationSupply ChainProcurementSystems EngineeringResearchLeadershipProblem Solving
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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 odds40
Fits your clock70
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About the role
- Commodity assignments will flex based on business need, and the ideal candidate is a versatile sourcing professional capable of ramping quickly across the full range of hardware that goes into a GPU rack, rather than a specialist in a single technology domain.
Responsibilities
- Own and execute sourcing strategy for assigned commodities within the AI infrastructure stack, which may include custom silicon, GPUs/CPUs, network hardware, power/cooling infrastructure, memory/storage, or other hardware categories that go into a GPU rack.
- Develop category strategies aligned to roadmap requirements, capacity forecasts, and long-term infrastructure growth, regardless of the specific technology domain.
- Identify and drive supply diversification, second-source development, and risk mitigation plans for constrained or fast-scaling categories.
- Build and maintain market intelligence across assigned commodities, including supply/demand dynamics, capacity constraints, technology roadmaps, and competitive landscape.
- Non-recurring engineering (NRE) and design/tooling agreements
- Build and execute negotiation strategies that balance cost, supply security, and flexibility, applying consistent commercial rigor across different commodity types.
- 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
Nice to have
- Experience sourcing across multiple commodity types within AI/ML or hyperscale data center infrastructure (e.g., silicon, networking, power/cooling, memory/storage).
- Demonstrated versatility moving between commodity domains over the course of a career, rather than deep specialization in a single technology.
- Experience supporting hyperscale data center or AI infrastructure programs.
- Background partnering with hardware/systems engineering teams on NRE, qualification, or co-development agreements.
- Bachelor's degree in Engineering, Supply Chain, Business, or related field
- advanced degree a plus.
- A generalist sourcing professional who can ramp quickly across different hardware technologies and commodity types
- Technically curious and commercially sharp - able to move fluidly between technical detail and high-stakes negotiation, regardless of domain
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.
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.