Senior AI Researcher - AV

Job Description

GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies that define how drivers experience safety, awareness, and confidence on the road.

GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.

About the Group:

At the autonomous vehicles Foundational AI Research team in Israel, which is part of the GM AV AI Research organization, we are shaping next-generation autonomous driving, L3 and beyond. The AI Research organization is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. 

The mission of the AI Research group based in the US, is to create groundbreaking technologies for next-generation autonomous vehicles by combining cutting-edge research with real-world innovation and technology incubation. Among several initiatives, we are building multimodal foundation models (vision–language–action) over fleet- and internet-scale data, and we are building controllable world models that generate realistic, multi-sensor driving data (camera, radar, LiDAR) to strengthen coverage and accelerate long-tail reduction for our L3 autonomy product.

About the Role:

As a senior AI researcher, you will set the technical direction in your area, drive experimentation rigor, and be a key influencer of our autonomy roadmap. You’ll explore and develop new technologies from inception to implementation. As a tech lead, you will be expected to partner with respective engineering groups such as Perception, Behavior/Policy, Data, Simulation, and Validation to ensure your research affects real-world KPIs. In addition, you’ll participate in high-quality paper publication at top-tier conferences/journals and collaborate with leading academic partners.

At the GM Foundational AI Research group, your work will influence millions of drivers worldwide and define what’s next in autonomous driving. If you're passionate about solving hard problems and advancing the frontiers of autonomous driving, we want you on our team.

What will YOU do?

• Drive downstream KPI lift for the autonomous driving agent.
• Participate in AI research projects in the areas of VLMs / world modeling, computer vision, 3D perception, multimodal sensor fusion, and others.
• Design, build, train, and evaluate foundation models and large-scale deep learning architectures designed for autonomous driving.
• Collaborate with engineering teams to translate state-of-the-art research into scalable production solutions.
• Work towards external publications in top-tier conferences / journals.
• Track emerging trends in your field.
• Incubate cutting-edge technologies aimed at impacting our L3 autonomous driving technology.
• Build and maintain collaborations with top universities, research labs, and industry experts.
  
  

Your Skills & Abilities (Required Qualifications)

• PhD in Computer Science, Electrical Engineering, Robotics, or a related field (Excellent M.Sc. graduates will be considered).
• Over 3 years of research experience in computer vision, machine learning, autonomous perception, or related areas.
• Strong publication record at top-tier AI/ML conferences and journals.
• Excellent coding skills and familiarity with modern AI frameworks.
• Hands-on experience with large-scale training, 3D data, multimodal perception, or foundation models is highly desirable.
  
  

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

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