Partner with researchers to integrate state-of-the-art model architectures into efficient and scalable training pipelines.
What we need to see
Bachelor's degree in Computer Science, Robotics, Engineering, or a related field (or equivalent experience).
12+ years of relevant professional experience encompassing large-scale ML training, AV systems, simulation, and AI infrastructure development.
Deep proficiency in RL algorithms, such as PPO and GRPO, including practical experience with hyperparameter tuning and reward function design.
Exceptional programming skills in C++ and Python, vital for developing efficient systems and data pipelines.
Extensive experience with large-scale GPU clusters, High-Performance Computing (HPC) environments, and job scheduling/orchestration tools (e.g., Kubernetes, SLURM).
Ways to stand out from the crowd
Experience in RL infrastructure or general LLM training/fine-tuning infrastructure in industry.
Experience in simulation & closed-loop evaluation of autonomous driving end-to-end models.
Proven record on large-scale data pipeline development and algorithm optimization.
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 2, 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.
