Senior Autonomy Engineer II - Simulation
May MobilityFull Time
Senior (5 to 8 years)
Candidates must possess an advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or a related field, with over 10 years of experience in systems engineering, robotics, or data analysis. Proficiency in SQL, Python, and C++ for large dataset analysis is essential, as are strong analytical thinking and excellent communication skills. Experience validating AI models, robotics, or autonomous vehicle development, a background in data engineering with ETL software knowledge, experience with data visualization tools like Looker or Jupyter notebooks, and familiarity with requirements management tools are considered competitive advantages.
The Staff Software Engineer will lead the strategy and execution of simulation-based validation for autonomous vehicle development. Responsibilities include prototyping comparative strategies to benchmark autonomy systems, creating simulation evaluation methods for continuous release cycles, defining validation requirements and metrics for safe autonomous vehicle operations, analyzing driving behaviors to inform system performance, and mentoring team members to define simulation confidence metrics for new launches.
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.