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Automotive Business Development Manager - Sales

Nvidia18h ago
United StatesOnsite$224K–$356.5KFull-timeSenior Level12+ yrs exp
H-1B verified · 451 LCAs

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Business Ops ManagerSales RepresentativeBusiness AnalystSales EngineerHr Business Partner

NVIDIA is redefining transportation through accelerated computing, AI, and autonomous driving. Our Automotive team works with global automakers, Tier 1 suppliers, mobility companies, and ecosystem partners to bring next-generation ADAS, autonomous driving, cockpit AI, and robotaxi platforms to market.

We are now looking for an Automotive Business Development Manager to join our team. In this role, you will help develop new and existing business opportunities for NVIDIA’s automotive platforms, support strategic customer engagements, and drive design-win opportunities across ADAS, autonomous driving, and AI-enabled vehicle architectures.

This is a highly cross-functional role that requires a strong understanding of automotive electronics, semiconductors, software platforms, and the evolving autonomous mobility ecosystem. The ideal candidate can combine critical thinking with execution rigor, build positive relationships with customers and partners, and help translate NVIDIA’s technology leadership into scalable business outcomes!

What you’ll be doing: Identify, evaluate, and develop strategic business opportunities for NVIDIA Automotive across global OEMs, Tier 1 suppliers, mobility providers, software partners, and ecosystem players. Support and drive customer engagements for NVIDIA DRIVE platforms, including ADAS, autonomous driving, cockpit AI, simulation, and robotaxi-related initiatives.

Work closely with Automotive product, engineering, software, regional sales, marketing, legal, finance, and operations teams to align customer requirements with NVIDIA’s platform roadmap. Build and manage strategic relationships with OEMs, Tier 1s, ISVs, IHVs, universities, research institutions, and ecosystem partners.

Help build and complete go-to-market strategies for new automotive AI and autonomous driving opportunities. Develop cases, market analyses, competitive assessments, pricing inputs, and strategic recommendations to support executive decision-making.

Coordinate complex design-win activities across commercial, technical, legal, and operational workstreams. Represent NVIDIA externally with customers, partners, collaborators, and, when appropriate, the broader automotive and technology community.

Track market trends across ADAS, autonomous driving, robotaxis, AI-defined vehicles, EV platforms, and automotive semiconductor architectures. Support strategic alliance development to accelerate adoption of NVIDIA’s automotive platforms globally.

What we need to see: 12+ years of experience in automotive electronics, semiconductors, mobility, autonomous driving, ADAS, or related technology markets. Bachelor’s degree in business, engineering, computer science, economics, or a related field, or equivalent experience.

MBA preferred. Deep understanding of the automotive industry, including OEM and Tier 1 decision-making processes, platform sourcing, vehicle development cycles, and production program execution. Strong understanding of semiconductor platforms, AI computing, software-defined vehicles, and automotive system architectures.

Demonstrated ability to develop customer relationships and support complex business development or strategic partnership engagements. Strong analytical skills, including proficiency in building arguments, assessing market opportunities, analyzing competitive dynamics, and supporting strategic decisions with data.

Strong negotiation, influencing, and stakeholder-management skills. Excellent communication skills, both written and verbal, with the ability to represent NVIDIA professionally in external engagements. Capacity to collaborate effectively across global teams and prioritize multiple demands under tight timelines.

Strong organizational, planning, and execution skills. A collaborative approach and the ability to work well in a fast paced, team-oriented environment. Ways to stand out from the crowd: Experience working directly with global automotive OEMs or Tier 1 suppliers on driver assistance features, autonomous vehicle initiatives, cabin electronics, or software-defined vehicle programs.

Familiarity with NVIDIA DRIVE, automotive AI platforms, simulation, safety, sensor architectures, or autonomous vehicle development. Experience securing or supporting automotive design wins from early strategy through sourcing, commercial negotiation, development, and production.

Strong understanding of L2/L2+/L3/L4 autonomy, robotaxi ecosystems, and emerging AI use cases in the vehicle. Ability to connect technology, product strategy, customer needs, and commercial outcomes. A reputation as a trusted teammate who can work across engineering, product, business, and executive collaborators.

NVIDIA is widely considered one of the world’s most desirable employers. We attract some of the most forward-thinking and committed people in technology. If you’re creative, driven, and ready to help shape the AI revolution, we want to hear from you!

Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Required skills

automotive electronicssemiconductorsmobilityautonomous drivingADASAI computingsoftware-defined vehiclesautomotive system architectures
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