Staff Researcher - Embodied AI and Robotics

About the Role:

In this Staff Researcher position , you will lead research and/or experiments to validate research ideas in developing. Write timely and high-quality research reports, external publications, and records of invention to document new ideas and research results in your area of research.

What will YOU do?

As a part of the GM Research team, you will lead novel applied AI and Controls research focusing on robotics. You will develop AI/ML/Controls technologies that will change the future of mobility. You will collaborate with world-class universities / industry partners while publishing research outcomes internally and externally.

Broader research areas include:

• Explore, invent, innovate, implement, evaluate and test algorithms as an independent yet integral member of a research team
• Identify research gaps, propose, plan and execute complex research projects
• Maintain state-of-the-art technical expertise in AI/ML/Controls
• Generate intellectual property, document results and publish papers
• Develop requirements and evaluation metrics for AI/ML/Controls

Your Skills & Abilities (Required Qualifications)

• PhD or MSc with over 10 years of experience in AI, ML, computer science, engineering, physics or relevant areas.
• Expert-level knowledge in one or more of these areas: deep learning, autonomous agents, large-scale multiagent systems, prediction, distributed optimization, and reinforcement learning
• Experience in creating and implementing reinforcement learning algorithms
• Expertise in manipulating high-volume, high-dimensional data from varying sources with machine learning techniques
• Experience in prototyping algorithms, implementing and testing software on hardware
• Programming background: Python, AI/ML environments (PyTorch, TensorFlow, sklearn, etc.)

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience in applying reinforcement learning to real world problems.
• Experience in applying ML techniques to control theory problems.
• Experience in applying foundation models/diffusion policies/VLAs to robotic application

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.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

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.

Accommodations

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Client-provided location(s): Ra'anana, Israel

Job ID: General_Motors-JR-202611118

Employment Type: FULL_TIME

Posted: 2026-05-24T23:56:51