Distinguished Planning Machine Learning Engineer - Autonomous Vehicles

NVIDIA; Santa Clara (CA); On-site; USD 308,000 - 472,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Engineer focused on autonomous vehicles. In this exciting role, you will develop innovative machine learning solutions that drive the future of AI automation. Your expertise in deep learning and collaboration across various disciplines will be key in shaping cutting-edge automotive products. With a competitive salary range and a commitment to diversity and inclusion, this opportunity invites you to be part of a transformative journey in the AI landscape. If you are passionate about innovation and technology, this role is perfect for you.

Qualifications

• 25+ years of experience building ML systems for autonomous vehicles.
• Hands-on experience with large-scale production ML systems.

Responsibilities

• Research and implement deep-learning methods for autonomous vehicles.
• Collaborate with system software engineering teams.

Skills

Machine Learning

Deep Neural Networks

Computer Vision

Analytical Skills

Software Development

Collaboration

Education

BS/MS/PhD in Computer Science

Electrical Engineering

Mechanical Engineering

Applied Math

Tools

PyTorch

TensorFlow

TensorRT

Job description

Job Description: Machine Learning Engineer - Autonomous Vehicles at NVIDIA

NVIDIA is seeking an experienced Machine Learning Engineer to join our Autonomous Vehicle team. In this role, you will develop key features for our autonomous driving platform, applying machine learning to prediction, planning, and control problems. You will create innovative ML solutions for NVIDIA’s next-generation automotive products. The ideal candidate has hands-on experience and deep knowledge in machine learning, with a strong understanding of deep neural networks, autonomous vehicles, and domain adaptation. Collaboration across teams and disciplines, including computer vision, graphics, and machine learning, is encouraged. Strong research, software development, communication, interpersonal, and analytical skills are essential. Join us to help shape the future of AI automation.

What you’ll be doing:

1. Research, implement, and evaluate deep-learning-based methods for prediction and planning in NVIDIA's Autonomous Vehicle products.
2. Design, conduct, and analyze experiments to assess the efficiency of solutions using real-world data.
3. Collaborate with system software engineering teams to deploy robust ML models.
4. Communicate and work effectively with multi-disciplinary teams.

What we need to see:

• 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 (LLMs) and transformers.
• Hands-on experience developing and deploying large-scale production ML systems.
• Strong leadership and a track record of innovation in ML-based planning solutions.
• Experience with deep neural network training, inference, and optimization using frameworks like PyTorch, TensorFlow, TensorRT, etc.
• Excellent understanding of the mathematical foundations of machine learning and deep learning.

Ways to stand out:

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

AI is transforming industries worldwide—powered by NVIDIA's hardware and software innovations. From autonomous vehicles to speech recognition and natural language processing, AI is now a reality. Join NVIDIA to be part of this revolution!

The base salary range is $308,000 - $471,500, depending on location, experience, and comparable roles. Benefits and equity are also included. NVIDIA is an equal opportunity employer committed to diversity and inclusion, welcoming applicants regardless of race, religion, gender, or other protected characteristics.