Robotic Simulation Engineer

Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Work Arrangement

Onsite - This position requires the employee to be onsite full-time. The primary work location will be at the General Motors Global Technical Center in Warren, MI or the General Motors MountainView office, CA.

The Role

We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar . In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation.

At GM's manufacturing technology development team, you'll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.

What You'll Do

• Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts
• Develop synthetic data generation pipelines , including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds)
• Implement and maintain data processing workflows , ensuring data quality, traceability, and compatibility with ML training pipelines
• Optimize simulation performance and realism , tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation
• Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer
• Conduct hands-on testing and debugging , iterating on simulation setups and synthetic data strategies to improve model robustness
• Document workflows and contribute to best practices , enabling reproducibility and knowledge sharing across teams

Your Skills & Abilities (Required Qualifications)

• Bachelors, MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field
• 1+ years of hands-on experience in robotics simulation , synthetic data generation, or virtual environment development
• Proficiency with Isaac Sim , Omniverse, or similar simulation platforms
• Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools
• Familiarity with 3D vision, sensor modeling, and domain randomization techniques
• Experience integrating simulation outputs into ML pipelines for training and evaluation

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2)
• Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity)
• Background in industrial automation, autonomous vehicles, or robotic manipulation
• Publications or contributions in simulation, synthetic data, or robotics venues (e.g. ICRA, RSS, CVPR)
• Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

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

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 [email protected] or call us at 1-800-865-7580. 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.

Client-provided location(s): Warren, MI

Job ID: General_Motors-JR-202604931

Employment Type: FULL_TIME

Posted: 2026-03-12T00:02:27