Senior Developer Relationship Manager - Autonomous Vehicles
AI summary of the role
NVIDIA seeks a Senior Developer Relationship Manager to drive adoption of its end-to-end autonomous vehicle platform (DGX, Omniverse, DRIVE AGX).
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Serve as primary DevRel point of contact for strategic automotive partners, from startups to OEMs and Tier 1 suppliers.
- Develop and communicate deep technical understanding of NVIDIA's DGX, Omniverse, and DRIVE AGX pillars through workshops, briefings, and guides.
- Assist with early-access software integrations with key partners, providing hands-on support and debugging.
- Champion partner requirements and feature gaps to internal product and engineering teams to influence roadmap decisions.
What you’ll bring
- 8+ years experience at a major technology company building or driving integrations of software and SDKs into products.
- Advanced degree in STEM (CS, EE, or related) or equivalent; MBA or proven experience.
- Experience leading strategic partnerships with automotive companies with proven results.
- Hands-on experience as a software engineer or technical PM in enterprise software, data pipelines, full stack, AI training, or synthetic data generation.
Technologies
CUDA · PyTorch · TensorFlow · C++ · Python · DGX · Omniverse · DRIVE AGX · GPU · deep learning frameworks
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Customer adoption & accounts · Evidence for this classification:
NVIDIA is at the forefront of the autonomous vehicle revolution, powering development with a cohesive, end-to-end platform. This platform consists of three core pillars: NVIDIA DGX systems for massively parallel AI training in the data center; NVIDIA Omniverse on OVX systems for physically accurate simulation, synthetic data generation, and validation; and the NVIDIA DRIVE AGX in-vehicle computer for safe, real-time processing of sensor data. Together, these systems build a continuous, accelerated development loop—a "digital twin" for AV development—that speeds innovation in performance and safety. We are seeking a technical Senior Automotive Developer Relationship Manager to assist with the technical engagement and drive the adoption of NVIDIA's end-to-end automotive solutions. In this role, you will be the primary technical liaison for our automotive developer ecosystem, working
More from the job description
NVIDIA is at the forefront of the autonomous vehicle revolution, powering development with a cohesive, end-to-end platform. This platform consists of three core pillars: NVIDIA DGX systems for massively parallel AI training in the data center; NVIDIA Omniverse on OVX systems for physically accurate simulation, synthetic data generation, and validation; and the NVIDIA DRIVE AGX in-vehicle computer for safe, real-time processing of sensor data. Together, these systems build a continuous, accelerated development loop—a "digital twin" for AV development—that speeds innovation in performance and safety. We are seeking a technical Senior Automotive Developer Relationship Manager to assist with the technical engagement and drive the adoption of NVIDIA's end-to-end automotive solutions. In this role, you will be the primary technical liaison for our automotive developer ecosystem, working closely with NVIDIA's Product, Engineering, and Solutions Architecture teams to architect and accelerate the integration of our technologies. What you’ll be doing: Assist with technical product engagement with senior technical leaders at strategic automotive partners, from innovative startups to established OEMs and Tier 1 suppliers. Serve as a primary DevRel point of contact. Develop and communicate a detailed technical understanding of NVIDIA’s three core pillars: DGX, Omniverse, and DRIVE AGX i [... source excerpt omitted ...] sist with early-access software integrations with key partners, providing hands-on support and debugging to ensure successful deployment and feedback collection. Champion partner requirements, constraints, architectural patterns, and feature gaps to internal product and engineering teams. Contribute to product roadmap decisions by synthesizing insights from large-scale enterprise environments and cross-industry patterns, acquired through partner engagements. Partner management to navigate partner orgs and foster direct relationships with decision makers, influencers, champions and execs to drive impactful decisions Build trust across all levels of partner groups to ensure alignmen [... source excerpt omitted ...] egotiating sophisticated agreements, including working with internal and external commercial and legal teams to complete agreements. Consistent track record to blend discernment, customer focus, and excellence on new technologies. Hands-on experience with C++, Python, CUDA, and deep learning frameworks (e.g., PyTorch, TensorFlow). Deep understanding of AI model development lifecycles, from data pipelines and training to optimization and deployment on edge devices. Ways to stand out from the crowd: Experience with World Foundational Models and other generative modeling techniques for Physical AI. GPU-based libraries, frameworks, tools, SDKs and infrastructure for model train
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