General Motors (GM) is looking to solve the problem of ensuring safety, reliability, and performance of autonomous vehicles through simulation-based validation strategies.
Requirements
- Proven experience in developing or testing large-scale Machine Learning (ML) systems.
- Strong understanding of simulation platforms, methodologies, and evaluation strategies.
- Hands-on expertise in implementing validation methods, defining relevant metrics, and correlating simulation results with real-world behavior.
- Proficiency in programming languages relevant to simulation and testing.
Responsibilities
- Lead the design, development, and implementation of simulation-based validation strategies to ensure safety and performance standards are achieved.
- Mentor and guide a team of engineers, fostering a culture of innovation, continuous learning, and excellence in simulation methodologies.
- Define and execute robust validation methods, including creating sophisticated test scenarios and analyzing simulation results at scale.
- Collaborate cross-functionally with autonomous system development teams to integrate simulation testing seamlessly into the overall development lifecycle.
- Influence technical roadmaps and strategic priorities, aligning simulation efforts with organizational goals and product milestones.
- Stay abreast of emerging trends and technologies in simulation and autonomous vehicle testing to drive continuous improvement.
Other
- Master's degree in Robotics, Computer Science, Engineering, or a related technical field.
- Minimum of 10 years of extensive experience in simulation and testing, preferably within the autonomous vehicle domain.
- Excellent communication, collaboration, and mentoring skills.
- Must reside within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View and report to the designated location at least three times per week.
