Entry Level - Driving Simulation Researcher - Automated Driving-Enabled Vehicles
General Motors Proving Ground
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
- 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
- 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
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