Senior researcher

GM Israel takes a significant part in introducing software 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. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision. 

Our Computer Vision & Perception Group drives state-of-the-art research in deep learning, multimodal perception, and generative AI to enable safe, reliable, and scalable autonomy. We work at the intersection of computer vision, sensor fusion, and AI — developing models that leverage data from cameras, LiDARs, radars, and emerging sensor technologies.

We collaborate closely with GM engineering, global research teams, and leading academic institutions worldwide to translate breakthrough ideas into transformative technologies.

As a Senior Researcher, you will define and lead research agendas that push the boundaries of perception for autonomous driving.

What You'll Do

• Lead and execute research projects in computer vision, 3D perception, multimodal sensor fusion, and generative AI
• Design and evaluate foundation models and large-scale deep learning architectures tailored for automotive perception
• Collaborate with GM engineering teams to translate breakthrough concepts into scalable production solutions
• Develop proof-of-concepts and simulation-based prototypes demonstrating feasibility and performance
• Maintain a strong publication and patent record, contributing actively to the AI and autonomous driving research ecosystem
• Track emerging trends in AI, 3D perception, foundation models, generative AI, multimodal learning, and large-scale simulation
• Build and maintain collaborations with top universities, research labs, and industry experts
• Serve as a thought leader, mentoring junior researchers and driving innovation across teams

About You:

• PhD in Computer Science, Electrical Engineering, Robotics, or a related field
• 5+ 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
• Expert programming skills in Python and experience with modern ML frameworks (PyTorch, TensorFlow)
• Hands-on experience with large-scale training, 3D data, multimodal perception, or foundation models is highly desirable
• Proven ability to work in a collaborative, cross-functional environment with global partners
• Excellent written and verbal communication skills in English

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.

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.

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.