Vehicle Simulation Researcher - Automated Driving-Enabled Vehicles

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..

The Role

As a member of the Connected Vehicle Experience Research Lab, you will be working with the Biosensing, Information Display, & Simulation group. You will be applying your expertise in autonomous vehicles, robotics, data science, and vehicle simulation for developing innovative approaches to hardware-in-the-loop-based vehicle simulation and in-vehicle integration of automated driving systems. As a researcher in this group, you will implement your solutions in hardware-in-the-loop simulation environments and on vehicles and publish your research findings in peer-reviewed journals to extend the reach of General Motors' development of next-generation technology. This will also include interfacing with universities, research institutes, and other advanced technology laboratories to build a network for amplifying your research.

What You'll Do

• Develop hardware-in-the-loop simulation solutions for automated driving-enabled vehicles
• Create tools to aid in the development or deployment of ADAS systems
• Implement solutions developed in simulation onto vehicles
• Participate in government-funded research work, such as the NASA Lunar Terrain Vehicle
• Document your research through internal and external publications
• Facilitate technology transfer via active participation in cross-functional teams

Your Skills & Abilities (Required Qualifications)

• MS Degree in a science, technology, engineering, or mathematics-related field
• Research experience in at least one of the following areas: Autonomous Vehicle Technology, Connected Vehicles, Robotics, Zero Barrier Mobility/Accessibility, Vehicle Dynamics, Simulation, or other related areas
• Strong theoretical, experimental or software programming skills

What Will Give You A Competitive Edge (Preferred Qualifications)

• PhD in a science, technology, engineering, or mathematics-related field
• Hands-on experience with CAN bus communication
• Familiarity with ROS or ROS 2 robotics framework
• Hands-on experience with hardware-in-the-loop simulation
• Experience with data analysis or AI/Machine Learning for engineering applications
• Demonstrates leadership in field of study, extra-curricular activities, or service organizations

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

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}.

The selected candidate will be required to travel < 25% for this role.

This job may be eligible for relocation benefits.

This position requires the ability to legally operate a motor vehicle on a regular basis and successfully complete a Motor Vehicle Report review.

The position is subject to export control restrictions and requires the successful candidate to be either a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee) or a non-U.S. Person who is eligible to obtain any required export control authorization

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 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-202519280

Employment Type: FULL_TIME

Posted: 2025-11-01T00:09:35