Automated Driving & Robotics Engineer - GM Defense

Job Description The Role We are seeking a highly motivated & dynamic engineer with demonstrated Autonomy and/or Robotics knowledge to be in the forefront of expanding GM's automated driving offerings to new realms relevant to GM Defense. The scope of work includes expanding GM's automated driving technology with autonomous follower, teleoperation, and off-road autonomous driving capability to meet civilian, military and other government agency needs. You will get to work with development vehicles, simulators, state-of-the-art sensors, and software, while adapting and enhancing solutions for specialized vehicles. What You'll Do Develop requirements, use cases, and performance evaluation metrics for AV systems Develop and enhance algorithms for perception, sensor fusion, localization, situation awareness, and path planning for automated driving Interface, collaborate, and partner with GM organizations to leverage existing capabilities and resources (Software Defi ned Vehicle, Super Cruise, Advanced Development, R D, etc.) Adapt, enhance, integrate, and test software and hardware for automated vehicles Create software and hardware properties to demonstrate GMD autonomy and robotics solutions Follow agile/scrum software development and Continuous Integration / Continuous Delivery processes as needed Organize issues, interpret strategies, and effectively communicate to team members and management to facilitate timely decisions Your Skills & Abilities (Required Qualifications) Bachelor of Science degree in electrical, mechanical, aerospace engineering, computer science, physics, mathematics, or similar area of focus Minimum of 5 years of relevant, fulltime work experience Design, development, or research engineering experience Automated driving and/or robotics development experience: Knowledge of perception (e.g., object detection, and tracking), sensor fusion (e.g., Kalman fi lter, particle fi lter), localization (e.g., SLAM), situation assessment, path planning and control algorithms Experience working with different AV sensors, such as LiDAR and Camera sensors. Knowledge of Vehicle Dynamics simulation tools and AV/ADAS simulation tools such as CarMaker, CarSim, Vires VTD, Carla, Gazebo etc.

Programming knowledge:

C++, Python and/or Matlab/Simulink Experience developing/integrating robotic applications Strong software development skills for safety critical, real-time applications Demonstrated ability to identify issues early and drive timely resolution Candidate must be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee). What Can Give You a Competitive Advantage (Preferred Qualifications) Master's degree or PhD (EE, ME, AE, Computer Science, Physics, Math or similar area of focus) Experience working with

ROS/ROS2

Knowledge of artificial intelligence and machine learning Knowledge of system safety and Development Vehicle Use Level approval processes Experience developing automated driving or active safety features and integrating them into vehicles #GMD 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