Senior Developer Relationship Manager, Automotive

Autonomous vehicle (AV) development is made possible by three distinct computers: NVIDIA DGX systems for training the AI-based stack in the data center, NVIDIA Omniverse running on NVIDIA OVX systems for simulation and synthetic data generation along with NVIDIA Cosmos, a platform comprising state-of-the-art generative world foundation models (WFMs), advanced tokenizers, guardrails and an accelerated video processing pipeline, and the NVIDIA DRIVE AGX in-vehicle computer to process real-time sensor data for safety. Together, these purpose-built, full-stack systems enable continuous development cycles, speeding improvements in performance and safety.

NVIDIA is seeking a Senior Automotive Developer Relationship Manager to evangelize NVIDIA’s three computer offerings mentioned above and accelerate their adoption among the automotive developer ecosystems. In this role, you will work closely with many groups within NVIDIA, including Product Management, Engineering, and Solutions Architects.

What you’ll be doing:

• 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. Gather 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.

• Create 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.

What we need to see:

• 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.

• Strong leadership, communication, and presentation skills.

• Ability to work independently and possess excellent communication skills to drive customer and internal engagements.

Ways to stand out from the crowd:

• 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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse 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.