Simulation Engineer
Muon SpaceFull Time
Senior (5 to 8 years)
Candidates must possess a Master's degree in Robotics, Computer Science, Engineering, or a related technical field, along with 10 years of extensive experience in simulation and testing, preferably within the autonomous vehicle domain. A proven track record in developing or testing large-scale Machine Learning systems, strong understanding of simulation platforms and methodologies, hands-on expertise in implementing robust validation methods and evaluation strategies, strong software engineering skills in relevant programming languages, and excellent communication, collaboration, and mentoring abilities are required. A Ph.D. and 15 years of experience are preferred.
The Principal Staff Artificial Intelligence Engineer will lead the strategy and execution of simulation-based validation for autonomous vehicle development, guiding a team in defining best practices and driving innovation in testing and verifying autonomous systems. Responsibilities include leading the design, development, and implementation of simulation-based validation strategies, guiding and mentoring engineers, defining and implementing robust validation methods and evaluation strategies, collaborating cross-functionally to integrate simulation testing, and influencing technical roadmaps and strategic priorities.
Designs, manufactures, and sells vehicles
General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.