Staff Evaluation Systems Engineer, Autonomous Vehicles
General MotorsFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
This is an onsite position.
This information is not specified in the job description.
Required skills include experience with automotive bus analyzing tools like Vector CANoe/CANalyzer, exposure to Matlab/Simulink and Linux, and sensor calibrations for autonomous driving platforms, along with proficiency in diagnosing automotive bus systems and working with sensors like GPS, cameras, and LiDAR.
Candidates need 5+ years of experience in the automotive industry and a Bachelor’s degree in Engineering (Automotive, Electric, IT, or equivalent experience). Hands-on vehicle experience and sensor expertise are also required.
A strong candidate is a detail-oriented, hands-on problem solver with 5+ years in the automotive industry, proficiency in vehicle diagnostics, sensor expertise, and technical skills in tools like Vector CANoe/CANalyzer, Matlab/Simulink, and Linux.
Develops autonomous yard truck solutions for logistics
ISEE AI specializes in creating autonomous yard truck solutions for logistics and warehouse environments. Their autonomous trucks use artificial intelligence to navigate complex settings, improving the efficiency of yard operations. These trucks are designed to work alongside people and equipment, ensuring smooth workflows in distribution centers and industrial yards. Unlike many competitors, ISEE AI focuses specifically on yard operations, which are often overlooked in the logistics chain, providing a unique advantage. The company's goal is to enhance operational efficiency and reduce costs in the logistics sector by offering reliable and effective autonomous driving systems based on advanced research from MIT.