Distinguished Planning Machine Learning Engineer - Autonomous Vehicles

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

Job summary

A forward-thinking company is seeking a distinguished Machine Learning Engineer to join its Autonomous Vehicle team. This role involves developing innovative ML solutions for next-generation automotive products, focusing on prediction, planning, and control problems. The ideal candidate will have extensive experience in machine learning, particularly with deep neural networks and autonomous vehicles. You will collaborate across multidisciplinary teams to craft cutting-edge AI automation solutions. If you're passionate about shaping the future of technology and have a strong background in ML systems, this opportunity is perfect for you.

Qualifications

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

Responsibilities

• Research and implement deep-learning methods for autonomous vehicle products.
• Collaborate with engineering teams to deploy ML models.

Skills

Machine Learning

Deep Neural Networks

Computer Vision

Software Development

Analytical Skills

Communication Skills

Education

BSc in Computer Science

MSc in Electrical Engineering

PhD in Applied Math

Tools

PyTorch

TensorFlow

TensorRT

Job description

Distinguished Planning Machine Learning Engineer - Autonomous Vehicles (Finance)

NVIDIA is looking for an experienced Machine Learning Engineer to join its Autonomous Vehicle team. As a member of our team, 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 candidate should have hands-on experience and deep knowledge in machine learning, with understanding of deep neural networks, autonomous vehicles, and domain adaptation being highly desirable. Collaboration across teams in computer vision, computer graphics, and machine learning is encouraged. Strong research, software development, communication, interpersonal, and analytical skills are essential. Join us to help craft the future of AI automation.

What you'll be doing:

• Research, implement, and evaluate deep-learning-based methods for prediction and planning for NVIDIA's Autonomous Vehicle products.
• Design, run, and analyze experiments and tests to evaluate the efficiency of solutions on real-world data.
• Collaborate with system software engineering teams to deploy industrial-strength ML models.
• Communicate and work with multi-disciplinary teams.

What we need to see:

• BSc, MSc, or PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience).
• Proven experience of 25+ years building ML systems for autonomous vehicles or similar robotics applications.
• Deep understanding of large language models (LLMs) and transformers.
• Hands-on experience in building and deploying large-scale production ML systems.
• Strong leadership and innovation track record in ML-based planning solutions.
• Experience with deep neural network training, inference, and optimization in frameworks like PyTorch, TensorFlow, TensorRT, etc.
• Solid understanding of the mathematical foundations of machine learning and deep learning.

Ways to stand out from the crowd:

• Previous experience as an ML planning lead.
• Published research in ML for planning, vision, or related fields.
• Experience with vision-language action models or chain-of-thought models.

AI is transforming industries worldwide, from image classification to speech recognition, natural language processing, and autonomous vehicles. NVIDIA leads this revolution with cutting-edge hardware and software. Join us to be part of this exciting journey!

The base salary range is $308,000 - $471,500 USD, determined by location, experience, and market standards. Additional benefits and equity are included. NVIDIA is committed to diversity and equal opportunity employment, welcoming applicants regardless of race, religion, gender, age, or other protected characteristics.