Senior Machine Learning and Simulation Engineer - Autonomous Vehicles

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Inclusive culture

Job summary

NVIDIA Corporation in California seeks Senior Machine Learning and Simulation Engineers for the AV Simulation team. You will lead the design and development of RL training frameworks, and build scalable simulation and data pipelines to accelerate autonomous driving research.

Ideal candidates have 12+ years in large-scale ML and AI infrastructure, deep RL knowledge (PPO/GRPO), and expert C++/Python skills. Experience with HPC, GPU clusters, Kubernetes or SLURM is required.

Qualifications

• 12+ years of professional experience in large-scale ML training and AV simulation.
• Proven ability to productize ML solutions for autonomous driving at scale.
• Deep proficiency in RL algorithms and practical hyperparameter tuning.

Responsibilities

• Lead the design and development of large-scale RL training frameworks for AV models.
• Design, build, and optimize simulation and data pipelines for scalable training.
• Improve simulation quality and refine reward functions for RL training.
• Ensure reliability and performance of training workflows on GPU clusters.

Skills

Large-scale ML training

RL algorithms (PPO/GRPO)

C++

Python

GPU clusters

HPC environments

Kubernetes

SLURM

Education

Bachelor's degree in CS/Robotics/Engineering or related field

Tools

Kubernetes

SLURM

Job description

We are seeking exceptional Senior Machine Learning and Simulation Engineers to join NVIDIA's Autonomous Vehicles (AV) Simulation team! This role requires strong technical leadership and outstanding software engineering skills, coupled with deep expertise in both simulation and artificial intelligence, including deep learning, reinforcement learning, end-to-end driving and Physics AI models. The successful candidate will have a solid track record of productizing ML solutions for autonomous driving and simulation at scale.

What you will be doing:

• Lead the design and development of large-scale RL training frameworks to accelerate the development of multi-modal AV foundation models.
• Design, build, and optimize simulation and data processing pipelines to enable scalable training of driving policies.
• Focus on measuring and enhancing simulation quality and refining the reward function for RL training.
• Ensure the reliability and performance of training workflows on large GPU clusters through the development of robust monitoring and debugging tools.
• 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.

Salary and Benefits

#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.

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.