Entry Level - Driving Simulation Researcher - Automated Driving-Enabled Vehicles

Job Description

The Team:

As a member of the Vehicle Safety, Engineering & Defense Research Lab, you will be working with the Biometrics & Sensing research group. You will be applying your expertise in autonomous vehicles, driving simulators, human factors, and data science for developing innovative approaches to immersive user studies for automated driving-enabled vehicles. As a researcher in this group, you will implement your solutions in driving simulators 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 immersive user experience simulation solutions for automated driving-enabled vehicles and robotic systems
• Create tools to aid in the development or deployment of human-vehicle interface solutions
• Conduct user studies to enable evidence-based decisions about in-vehicle interfaces
• Participate in government-funded research work
• Document your research through internal and external publications
• Facilitate technology transfer via active participation in cross-functional teams

Required Qualifications:

• Advanced Degree (Masters or PhD) in a science, technology, engineering, or mathematics-related field

• Must be graduating between August 2026 - June 2027

• Able to work fulltime, 40 hours per week
• Hands-on experience building or writing software for a real-time simulator to develop autonomous systems and HMIs
• Research experience in at least one of the following areas: Autonomous Vehicle Technology, Connected Vehicles, Advanced Wireless Technology, Robotics, Zero Barrier Mobility/Accessibility, User Experience, Displays, HMI, Simulation, or other related areas
• Strong theoretical, experimental or software programming skills

Preferred Qualifications):

• PhD in a related area
• Hands-on experience building and using real-time simulators to develop autonomous systems and HMIs
• Familiarity with ROS or ROS 2 robotics framework
• Hands-on experience with CAN bus communication
• Experience with data analysis or AI/Machine Learning for engineering applications
• Hands-on experience running user studies in a driving simulator
• Demonstration 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).

The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).

Work Arrangement:

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum [or other frequency dictated by the business].

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.

About GM

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Benefits Overview

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