Senior Software Engineer - Autonomous Driving Simulation

About the role

NVIDIA is seeking a highly motivated Software Engineer to join our Autonomous Vehicle (AV) Simulation team. The mission is to enable large-scale simulation and debugging of AV algorithms across millions of scenarios per day, spanning diverse traffic patterns, road conditions, weather environments, and edge cases.

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.

Requirements

• 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.
• Able 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.

Qualifications

• First-author publications at top-tier conferences such as NeurIPS, CVPR, ICCV, ECCV, or ICML.
• Experience in autonomous driving, robotics simulation, neural rendering, synthetic data generation, or generative AI.
• Proven research or engineering excellence through internships, open-source contributions, code competitions, or impactful production systems.
• Experience optimizing high-performance or large-scale distributed workloads.

Benefits

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
• You will also be eligible for equity and benefits.

Pay

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

Schedule

• This posting is for an existing vacancy.