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Senior Software Engineer - Autonomous Driving Simulation

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$152k - $241.5k + equityFull-timePosted 4mo ago

About the role

Software Engineer role in NVIDIA's Autonomous Vehicle (AV) Simulation team to build and scale realistic virtual environments for training, testing, and validating NVIDIA’s autonomous driving software stack, with a focus on large-scale simulation, Real2Sim/Sim2Real domain adaptation, and production-ready workflows.

Responsibilities

  • Develop scalable simulation platforms and workflows for autonomous driving validation and training.
  • Work on Real2Sim and Sim2Real domain adaptation technologies to transform real-world driving incidents into diverse simulation scenarios — and bridge the gap between simulated and real-world behavior.
  • Contribute across a multidisciplinary stack involving: System software and distributed infrastructure, neural graphics & rendering, generative AI & synthetic data generation, computer vision & deep learning, and real-to-synthetic domain adaptation.
  • Optimize large-scale simulation workflows for performance, scalability, reliability, and production deployment.
  • Collaborate closely with researchers, infrastructure engineers, and product teams across NVIDIA.
  • Drive technology transfer into production products and contribute to open-source initiatives where applicable.

Qualifications

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field (or equivalent experience).
  • 5+ years of relevant autonomous vehicles industry experience.
  • Strong programming skills in Python, C/C++, PyTorch, and Linux/bash scripting.
  • Experience with modern software engineering and infrastructure tools such as Docker, Bazel, Jenkins, CI/CD pipelines, and distributed systems tooling.
  • Strong background in computer vision, deep learning, simulation systems, or related domains.
  • Excellent analytical and mathematical problem-solving skills.
  • Ability to independently drive complex projects from concept to production.
  • Strong communication, collaboration, and teamwork skills.
  • Experience in machine learning, large-scale systems, analytics, statistics, or applied mathematics.

Skills

Required:PythonC/C++PyTorchLinux/bash scriptingDocker

Benefits

  • equity
  • benefits (as per company policy)
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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