Distinguished Planning Machine Learning Engineer - Autonomous Vehicles

Details

NVIDIA is looking for an experienced Machine Learning Engineer to join its Autonomous Vehicle team. As a member of the team you will develop key features for NVIDIA's autonomous driving platform, applying machine learning to prediction, planning, and control problems and creating ML solutions for next-generation automotive products. The role expects hands-on experience and deep knowledge in machine learning, understanding of deep neural networks, autonomous vehicles, and domain adaptation. You will collaborate across computer vision, computer graphics, and machine learning approaches and work across people and project boundaries.

Responsibilities

• Research, implement, and evaluate deep-learning-based methods for prediction and planning for NVIDIA's Autonomous Vehicle products.
• Lead, design, run, and analyze experiments and testing to evaluate solution efficiency on real-world data.
• Partner with system software engineering specialists to ship industrial-strength ML models.
• Communicate and collaborate with multi-functional teams.

Requirements

• BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience).
• 25+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications.
• Deep understanding of large language models (LLM) and transformers.
• Hands-on experience building large-scale production ML systems and deploying them at scale.
• Excellent leadership and a track record for innovation to help build next-generation ML-based planning solutions.
• Experience with deep neural network (DNN) training, inference and optimization in leading frameworks (PyTorch, TensorFlow, TensorRT, etc.).
• Excellent understanding of the mathematical foundations of machine learning and deep learning.

Ways to stand out

• Prior experience as an ML planning lead.
• Proven publication record in ML for planning, vision, or related fields.
• Prior experience building and deploying vision-language-action or chain-of-thought models.

About NVIDIA / Context

Academic and commercial groups around the world are advancing AI using deep learning techniques running on NVIDIA GPUs. The team emphasizes research and engineering to enable breakthroughs across image classification, speech recognition, natural language processing, and autonomous vehicles.

Compensation & Benefits

• Base salary range: 308,000 USD - 471,500 USD (determined by location, experience, and pay of similar positions).
• Eligible for equity and additional benefits (link to NVIDIA benefits).

Additional info

• Applications accepted at least until July 29, 2025.
• NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.