NVIDIA
Senior Developer Relationship Manager - Autonomous Vehicles
$184K–$356K
US, CA, Santa Clara · Manager · Full-time · Posted Aug 29, 2026
- Experience
- 8+ years in developer relations, technical partnerships, software engineering, product management, solutions architecture, ecosystem development, or related areas.
About the job
Leads technical developer engagement and partner adoption of NVIDIA’s autonomous vehicle platform, while bringing ecosystem feedback into product and platform strategy.
What you'll do
- Lead technical engagement and enablement for autonomous vehicle partners, including workshops, demos, reference architectures, and guidance.
- Support early-access integrations, identify technical blockers, and advocate for partner requirements with product and engineering teams.
- Coordinate developer engagement with internal teams and support go-to-market, launches, and roadmap planning.
What they ask for
- Strong technical background in autonomous vehicles, automotive software, AI, simulation, accelerated computing, embedded systems, or related domains.
- Experience with automotive partners or enterprise technology partners, and hands-on work in relevant areas such as model training, simulation, synthetic data, or edge deployment.
- Hands-on experience with C++, Python, CUDA, and deep learning frameworks such as PyTorch or TensorFlow.
- Ability to translate partner feedback into product requirements and communicate effectively with technical and business stakeholders.
Nice to have
- Experience with NVIDIA DRIVE, DGX, Omniverse, Cosmos, CUDA-X, NeMo, or NVIDIA AI Enterprise.
- Experience with ADAS/AD stacks, ISO 26262, developer communities, generative AI, physical AI, synthetic data, or GPU-accelerated simulation.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
C++, Python, CUDA, PyTorch, TensorFlow, NVIDIA DRIVE, NVIDIA Omniverse, NVIDIA Cosmos
AI focus
Supports adoption of AI across autonomous vehicle development, including training, synthetic data generation, simulation, validation, optimization, and in-vehicle or edge deployment.
Model-written summary · the original posting is authoritative