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Selected role

Staff Applied Scientist - AI Robotics

General Motors (GM) Mountain View, CA, US

$198k - $260k Senior Full-time

Job Description

Our AI Research team is building end-to-end robot policies that enable dexterous manipulation in real-world environments. We are advancing embodied AI by integrating multimodal perception, robot learning architectures, and physical execution systems to solve manipulation, autonomy, and simulation challenges at industrial scale.

As a Staff Applied Scientist , you will lead the development of core components of these embodied systems—from model design and training pipelines to integration with perception, motion control, and hardware. You will design, prototype, and deploy robot learning models that span perception, policy learning, simulation, and real-world execution, collaborating closely with robotics engineers, AI infrastructure teams, and production experts.

What You’ll Do

Design and implement advanced robot learning architectures (e.g., diffusion policies, ACT, VLM/VLA-guided agents, imitation learning) to support dexterous manipulation, path planning, and autonomous task sequencing.
Develop end-to-end policy training pipelines , integrating multi-modal sensory data (RGB, depth, proprioception, force/torque, LiDAR, tactile inputs) with control outputs.
Build policy inference and closed-loop control that connect perception , planning, and execution on physical robotic platforms.
Apply and extend large-scale architectures —LLMs, VLM/VLAs, diffusion models—to embodied tasks, grounding, and sim-to-real adaptation.
Collaborate with cross-functional teams to deploy robot policies on hardware , ensuring robustness, repeatability, and safety.
Lead data strategy for demonstrations, teleoperation, simulation pipelines , and evaluation frameworks for manipulation policies.
Stay current with embodied AI research and share insights internally through discussion, mentorship, and technical presentations.

Required Qualifications

PhD in a relevant STEM field , or Master’s with equivalent industry experience in robotics, robot learning, or embodied AI.
Proven experience building and deploying machine learning models on robotic systems —including training, evaluation, and real-world execution or simulation.
Deep understanding of modern AI architectures (e.g., Transformers, diffusion models, VLM/VLAs, CNNs ) with strong experience training models at scale.
Strong PyTorch implementation skills , including authoring custom modules, batching, debugging, and performance optimization.
Practical experience with ROS/ROS2 and integrating learned policies into manipulation or motion control workflows.
Demonstrated impact via robot learning publications, open-source contributions, or production robotics deployments.

Preferred Qualifications

Experience developing robot learning systems for dexterous manipulation, multi-step task execution, or autonomous behaviors .
Expertise in robotics perception , including 3D understanding, force sensing, tactile feedback, multimodal fusion, or affordance modeling.
Familiarity with Isaac Sim, Mujoco , Gazebo, PyBullet , or custom simulators, and demonstrated ability to transfer policies to hardware.
Experience adapting foundation models (VLM/VLAs, diffusion, instruction-following agents) for embodied control tasks.
Track record of production-ready robotics systems, reproducible research artifacts, or deployments in physical environments.

Why Join Us

You will help build robotic agents that can manipulate the world with dexterity and autonomy. Your work will directly influence how robots perceive, act, and adapt across GM’s global ecosystem.

Location: This role is categorized as hybrid. This means the successful candidate is expected to report to the MTV office three times per week or any other frequency dictated by the business.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role is 198,000 to 260,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.

Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Relocation: This job may be eligible for relocation benefits.

#GMAI-B

#LI-CX1

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.

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

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 800-865-7580. 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.

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