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NVIDIA, OEM & Chip Providers Lead

NVIDIA, OEM & Chip Providers Lead

Baseten

Full-time · Lead

At a glance on RemoteAI

  • 1 reviewed professional on RemoteAI matches this role at 70% or more.
  • Machine Learning : 228 of 3,363 reviewed AI professionals on RemoteAI list it (7%) — the most common skill this role asks for.
  • Spark: 60 of 3,363 reviewed AI professionals on RemoteAI list it (2%).
  • Baseten has 65 other open roles on RemoteAI.

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About the role

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

This role owns Baseten's relationships and market intelligence across the hardware and chip layer of the compute stack: NVIDIA directly and key OEM partners such as Dell, Lenovo, Pegatron, and Supermicro. As Baseten's compute strategy increasingly depends on hardware access and terms, this role is central to keeping Baseten ahead of the market.

RESPONSIBILITIES

  • Build and maintain relationships across NVIDIA and key OEM partners (e.g. Dell, Supermicro)

  • Track market intelligence on hardware availability, roadmaps, and terms to keep Baseten informed and strategically well-positioned

  • Support deal structuring and negotiation in partnership with Baseten's deal-making function

  • Work closely with Infrastructure and Hardware Platform engineering teams to ensure consistent, high-quality provider relationships and engineering partnerships

  • Represent Baseten credibly across senior relationships in the hardware ecosystem, escalating to company leadership when strategically valuable

REQUIREMENTS

  • Existing relationships and credibility within the NVIDIA, OEM, and HPC ecosystem

  • Strong relationship-management instincts, with the judgment to know when to bring in senior leadership for maximum impact

  • Comfort operating in a fast-moving, high-stakes market where hardware access can be a major competitive differentiator

  • Collaborative style — this role depends on close coordination with engineering counterparts, not just external relationship-building

NICE TO HAVE

  • Direct experience working at or closely with NVIDIA, a major OEM, or HPC

  • Familiarity with the broader AI compute and inference market

BENEFITS

  • Competitive compensation, including meaningful equity

  • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Fertility and family-building stipend through Carrot

  • (U.S. only) Company-facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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Skills

Job Type

Full-time

Level

Lead

Language

English

Timezone

—

Skills

spark machine learning

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