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, human factors, biometrics, and data science for developing innovative approaches to human-robot interaction in both automotive and manufacturing contexts. As a researcher in this group, you will implement your solutions on vehicles and in manufacturing environments 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 human-robot interface solutions for automated driving-enabled vehicles and robotic systems for manufacturing
- Create tools to aid in the development or deployment of human-robot interface solutions
- Conduct user studies to enable evidence-based decisions about human-robot interfaces
- 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, Advanced Wireless Technology, Robotics, Zero Barrier Mobility/Accessibility, User Experience, Displays, HMI, Simulation, or other related areas
- Strong theoretical, experimental or software programming skills
What Will Give You A Competitive Edge (Preferred Qualifications)
- PhD in a related area
- Familiarity with ROS or ROS 2 robotics framework
- Hands-on experience with biometric-based user interfaces
- Experience with data analysis or AI/Machine Learning for engineering applications
- Hands-on experience with wireless communication using Wi-Fi or Bluetooth
- Demonstrates leadership in field of study, extra-curricular activities, or service organizations
