Senior Software Engineer - Autonomous Driving Simulation

Details

NVIDIA is seeking a highly motivated Software Engineer to join its Autonomous Vehicle (AV) Simulation team. The role focuses on building and scaling realistic virtual environments that accelerate the training, testing, and validation of NVIDIA's autonomous driving software stack.

The team enables large-scale simulation and debugging of AV algorithms across millions of scenarios per day, covering diverse traffic patterns, road conditions, weather environments, and edge cases. The work involves performance optimization and systems-level analysis across AV algorithms, AI models, system software, infrastructure, and production-scale simulation 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 technology stack involving system software, distributed infrastructure, neural graphics and 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 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 vehicle 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.

Preferred 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.

Compensation and Benefits

• Base salary range: $152,000–$241,500 for Level 3 and $184,000–$287,500 for Level 4, depending on location, experience, and the pay of employees in similar positions.
• Eligible for equity and benefits.
• Applications will be accepted at least until June 15, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is an equal opportunity employer committed to an inclusive work environment.