About The Company
General Motors (GM) is a global leader in automotive manufacturing and innovation, committed to shaping the future of mobility. With a rich history of technological advancements and a forward-looking vision, GM strives to create safer, more sustainable, and efficient transportation solutions. The company’s mission is to achieve a world with Zero Crashes, Zero Emissions, and Zero Congestion by leveraging cutting-edge technology, innovative engineering, and a diverse, talented workforce. GM’s dedication to excellence is reflected in its continuous investment in research and development, especially in autonomous vehicle technologies, electric mobility, and intelligent transportation systems.
About The Role
The Principal Staff Artificial Intelligence Engineer within the Simulation and Testing organization will play a pivotal role in leading the development and execution of simulation-based validation strategies for autonomous vehicles. This senior leadership position involves guiding a team of engineers to define best practices, innovate testing methodologies, and ensure the safety and performance of autonomous systems in complex simulated environments. The successful candidate will be responsible for shaping the future capabilities of GM’s simulation platforms, integrating validation methods into the overall development lifecycle, and influencing strategic roadmaps aligned with the company's objectives. This role requires a combination of technical expertise, leadership skills, and strategic vision to drive advancements in autonomous vehicle validation and testing.
Qualifications
- Master’s degree in Robotics, Computer Science, Engineering, or a related technical field
- Minimum of 10 years of experience in simulation and testing within the autonomous vehicle domain
- Proven track record in developing or testing large-scale Machine Learning (ML) systems
- Extensive knowledge of simulation platforms and methodologies
- Hands-on experience leveraging Large Language Models (LLMs), Vision-Language Models (VLMs), or similar AI technologies for production workflows
- Experience with the entire machine learning lifecycle, including data generation, model training, and deployment
- Strong software engineering skills in relevant programming languages
- Excellent communication, collaboration, and mentorship abilities
Responsibilities
- Lead the design, development, and implementation of simulation-based validation strategies for autonomous systems, ensuring safety and performance standards are achieved
- Guide and mentor a team of engineers, fostering a culture of innovation, continuous improvement, and technical excellence
- Define and implement robust validation methods and evaluation strategies within simulation frameworks, including creating challenging test scenarios and analyzing results at scale
- Collaborate cross-functionally with autonomous system development teams to integrate simulation testing seamlessly into the overall product development process
- Influence technical roadmaps, strategic priorities, and innovation initiatives related to simulation and testing capabilities
- Ensure validation methods accurately correlate simulation performance with real-world vehicle behavior
- Stay abreast of emerging technologies and industry best practices to continuously enhance simulation methodologies
Benefits
- Comprehensive health and wellbeing benefits including medical, dental, and vision coverage
- Retirement savings plans and financial security programs
- Paid vacation, holidays, and flexible work arrangements
- Tuition assistance and professional development opportunities
- Employee assistance programs supporting mental health and wellness
- GM vehicle discounts and participation in company vehicle evaluation programs
- Potential relocation benefits for eligible candidates
Equal Opportunity
General Motors is committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all qualified applicants without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy, sexual orientation, gender identity, veteran status, or any other protected characteristic. We believe that a diverse workforce enhances innovation and drives better business outcomes. We encourage all qualified candidates to apply and join us in our mission to lead positive change in mobility and society.
