General Motors (GM) is seeking to lead the strategy and execution of simulation-based validation efforts for autonomous vehicle systems to ensure safety and performance standards are met.
Requirements
- Minimum of 10 years of experience in simulation and testing, preferably within the autonomous vehicle domain.
- Proven track record in developing or testing large-scale Machine Learning (ML) systems.
- Strong understanding of simulation platforms, methodologies, and validation techniques.
- Hands-on expertise in implementing validation and evaluation strategies, including defining relevant metrics and correlating simulation results with real-world behavior.
- Proficiency in programming languages relevant to simulation and testing, such as Python, C++, or similar.
Responsibilities
- Lead the design, development, and implementation of simulation-based validation strategies to ensure safety and performance standards are met for autonomous systems.
- Define and implement comprehensive validation methods and sophisticated evaluation strategies within simulation frameworks.
- Create challenging test scenarios and analyze large-scale simulation data to identify system performance and safety issues.
- Collaborate with cross-functional teams involved in autonomous system development 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 systems to continually improve validation processes.
Other
- Guide and mentor a team of engineers, fostering a culture of innovation, continuous learning, and technical excellence.
- Excellent communication, leadership, and mentorship skills, with a passion for innovation in autonomous technology.
