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Senior Developer Relationship Manager – Automotive Vehicles
| Company | NVIDIA |
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| Location | Santa Clara, CA, USA |
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| Salary | $184000 – $356500 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Advanced degree in a STEM field or equivalent experience in Computer Science, Electrical Engineering, Machine Learning, or related field.
- 8+ years of hands-on experience in AI/ML, with a strong focus on automotive or edge.
- Demonstrable ability to articulate a value proposition to both technical and non-technical audiences.
- Proven experience working with enterprise partners and startups on AI solution deployments.
- Familiarity with edge AI deployment
- Strong customer/partner relationship skills.
- Expert leadership, communication, and presentation skills.
- Ability to work independently and possess excellent communication skills to drive customer and internal engagements.
Responsibilities
- Develop and build a strong NVIDIA automotive developer ecosystem and lead technical collaborations to drive the adoption of DGX, Omniverse, Cosmos, and DRIVE AGX platforms. Capture customer feedback and learnings to help further improve products.
- Perform competitive analysis between NVIDIA products and other solutions on the market.
- Test and evaluate the performance of AI models, products, and features.
- Present NVIDIA automotive end to end offerings at high-profile industry events, partner workshops, and executive briefings.
- Support launch of new products and releases, working with cross-functional teams.
- Lead customer integration with EA release software working closely with product teams.
- Develop customer success stories and work with marketing teams to promote and uplift.
- Develop engaging developer-friendly content/training including product web pages, presentations, blogs, and videos to help developers and customers understand and embrace Automotive end to end offerings.
Preferred Qualifications
- Experience in developing and delivering technical training programs for partners.
- Deep technical knowledge of physical AI, reinforcement learning and foundation models.
- Deep understanding in NVIDIA computing platforms and technologies.
- Expertise in C, C++, Python programming languages and generative AI, deep learning and CUDA.
- Strong understanding of the enterprise AI landscape and the outstanding challenges faced by autonomous vehicle system integrators in adopting new AI technologies.
