Principal Staff AI Engineer, Autonomous Vehicle Simulation & Testing

About The Company

General Motors (GM) is a global leader in the automotive industry, renowned for its innovation, quality, and commitment to shaping the future of mobility. With a rich history of engineering excellence and a focus on sustainable transportation solutions, GM continuously invests in cutting-edge technologies to enhance vehicle safety, performance, and customer experience. The company fosters a collaborative and inclusive work environment that encourages innovation, diversity, and continuous learning. GM’s dedication to advancing autonomous vehicle technology positions it at the forefront of the industry, striving to deliver safe, reliable, and intelligent transportation options for consumers worldwide.

About The Role

As a Principal Staff Artificial Intelligence Engineer within the Simulation and Testing organization, you will hold a pivotal leadership position responsible for steering the strategy and execution of simulation-based validation efforts for autonomous vehicle systems. Your expertise will be instrumental in guiding a team of engineers to develop and implement best practices in testing and verification processes. You will play a key role in shaping the future capabilities of our simulation platforms, ensuring that validation methods are robust, scalable, and aligned with safety standards and performance metrics. This role requires a visionary leader with deep technical knowledge in simulation, machine learning, and autonomous systems, capable of driving innovation and fostering a culture of excellence within the team.

Qualifications

• Master’s degree in Robotics, Computer Science, Engineering, or a related technical field
• 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 evaluation strategies
• Experience with leveraging Large Language Models (LLMs), Vision-Language Models (VLMs), and similar technologies for production workflows
• Hands-on experience across the entire machine learning lifecycle, including data generation, curation, training, and deployment
• Proficiency in software engineering, particularly in programming languages relevant to simulation and testing
• Excellent communication, collaboration, and mentorship skills
  
  

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 execute robust validation methods and sophisticated evaluation strategies within simulation frameworks
• Create challenging test scenarios and analyze simulation results at scale to identify potential system vulnerabilities
• Collaborate with cross-functional teams involved in autonomous system development to ensure seamless integration of simulation testing into the overall development lifecycle
• Influence technical roadmaps, strategic priorities, and product milestones by aligning simulation efforts with organizational goals
• Stay abreast of emerging trends and advancements in simulation technologies, machine learning, and autonomous vehicle safety standards
  
  

Benefits

• Competitive salary range of $193,000 - $296,600, commensurate with experience and qualifications
• Incentive bonus programs based on company and individual performance
• Comprehensive health and wellbeing benefits including medical, dental, and vision coverage
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
• Retirement savings plan and life insurance coverage
• Paid vacation, holidays, and tuition assistance programs
• Employee assistance programs and GM vehicle discounts
• Opportunity to participate in a company vehicle evaluation program, subject to eligibility
• Remote work flexibility with reporting requirements based on location
• Potential relocation benefits for suitable candidates
  
  

Equal Opportunity

General Motors is committed to fostering an inclusive and equitable workplace. We provide equal employment opportunities regardless of sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, veteran status, or any other protected class. We believe that diversity and inclusion drive innovation and excellence, and we are dedicated to creating a work environment where all employees can thrive. Accommodations are available for qualified individuals with disabilities to support their employment and application process. We encourage all qualified candidates to apply and join our team in shaping the future of mobility.