Drive technology transfer into production products and contribute to open-source initiatives where applicable.
What we need to see
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.
Ways to stand out from the crowd
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.
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.
Applications for this job will be accepted at least until October 18, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
