Autonomous Vehicle DevRel Lead

NVIDIA Corporation

Santa Clara, Northern (CA, KY)

Hybrid

USD 184,000 - 357,000

Full time

12 days ago
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Job summary

NVIDIA Corporation is seeking a highly technical Senior Developer Relations Manager to lead developer ecosystem engagement for Autonomous Vehicles. You will serve as a primary technical advocate and ecosystem lead, coordinating with product, engineering, sales, marketing, and regional teams to accelerate adoption and gather ecosystem feedback for roadmaps.

The role requires deep expertise in C++, Python, CUDA, and DL frameworks, plus experience with automotive software and edge deployment.

Qualifications

  • 8+ years of experience in developer relations, technical partnerships, software engineering, product management, solutions architecture, or ecosystem development.
  • Strong technical background in autonomous vehicles, automotive software, AI, simulation, accelerated computing, embedded systems, or related domains.
  • Hands-on experience with C++, Python, CUDA, and deep learning frameworks such as PyTorch or TensorFlow.

Responsibilities

  • Lead technical developer engagement with strategic autonomous vehicle partners (OEMs, Tier 1s, startups) and serve as the primary DevRel contact for the AV ecosystem.
  • Develop and deliver technical enablement programs, workshops, samples, reference architectures, demos, and best-practice guides.
  • Capture partner feedback, identify blockers, and help drive adoption and roadmap input with product/engineering teams.
  • Collaborate with solutions architects, product managers, and regional teams to align developer engagement with NVIDIA’s Automotive platform strategy.

Skills

C++
Python
CUDA
PyTorch
TensorFlow
AI
Edge deployment

Tools

DGX
Omniverse
CUDA-X
NVIDIA AI Enterprise

Job description

NVIDIA Corporation is seeking a highly technical Senior Developer Relations Manager to lead developer ecosystem engagement for Autonomous Vehicles. You will serve as a primary technical advocate and ecosystem lead, coordinating with product, engineering, sales, marketing, and regional teams to accelerate adoption and gather ecosystem feedback for roadmaps.

The role requires deep expertise in C++, Python, CUDA, and DL frameworks, plus experience with automotive software and edge deployment.

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