Principal AI/ML Engineer - Autonomous Vehicle Division

About The Company

General Motors (GM) is a global leader in automotive manufacturing and innovation, committed to shaping the future of mobility. With a vision centered on creating a world with Zero Crashes, Zero Emissions, and Zero Congestion, GM strives to develop advanced technologies that enhance safety, sustainability, and efficiency. The company fosters a culture of innovation, inclusivity, and continuous improvement, aiming to deliver cutting-edge solutions that redefine transportation. Through its investments in electric vehicles, autonomous driving, and smart mobility, GM is dedicated to transforming the automotive landscape and making a positive impact on society and the environment.

About The Role

The Principal AI/ML Engineer - Onboard Embodied AI is a critical leadership role within GM's autonomous vehicle division. Located in Mountain View, California, with a hybrid working model, this position involves spearheading the development of sophisticated machine learning solutions that enable fully autonomous driving capabilities. As a senior technical contributor and leader, you will architect, develop, and deploy real-time onboard ML models that process sensor data to produce safe and reliable driving behaviors. Your expertise will directly influence the performance and safety of GM's autonomous vehicles, ensuring they can navigate complex and dynamic environments effectively. You will collaborate with multidisciplinary teams, mentor engineers, and shape the technical roadmap for onboard AI systems, driving innovation and excellence in autonomous driving technology.

Qualifications

• Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
• 5+ years of experience with modern machine learning techniques.
• Extensive experience in developing and deploying advanced ML systems, especially in real-time onboard applications.
• Proven track record as a technical leader and expert in deep learning models, sensor data processing, and safety-critical systems.

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• Deep expertise in computer vision, neural network architectures, representation learning, and model optimization under uncertainty.
• Strong proficiency in Python and C++, with hands-on experience using ML frameworks such as PyTorch, TensorFlow, or JAX.
• Excellent communication, collaboration, and mentoring skills, with the ability to influence technical strategies across teams.
• Bonus: Experience in autonomous vehicles or Advanced Driver Assistance Systems (ADAS).
  
  

Responsibilities

• Design, develop, and deploy advanced onboard ML models capable of real-time inference to support autonomous driving functionalities.
• Lead complex machine learning projects from conception through validation and onboard implementation, emphasizing scalability, robustness, and safety.

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• Innovate neural network architectures, training methodologies, and inference optimization strategies tailored for onboard deployment.
• Provide technical mentorship and thought leadership to ML engineering teams, fostering best practices and continuous learning.
• Collaborate with cross-functional engineering teams to seamlessly integrate ML capabilities into autonomous vehicle systems.
• Shape technical roadmaps and prioritize ML initiatives aligned with company goals and product milestones.
  
  

Benefits

• Competitive salary range between $259,000 and $396,700, commensurate with experience and expertise.
• Performance-based incentive bonus programs.

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• Relocation assistance and benefits, if applicable.
• Comprehensive health, dental, and vision insurance plans.
• Retirement savings options and wellness programs.
• Opportunities for professional development and continuous learning.
• Inclusive and diverse work environment fostering innovation and growth.
  
  

Equal Opportunity

General Motors is an equal opportunity employer committed to creating an inclusive workplace. We do not discriminate based on sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy, sexual orientation, gender identity, veteran status, or any other protected characteristic under applicable laws. We believe that diversity and inclusion drive innovation and success, and we welcome applicants from all backgrounds to join our team. All employment decisions are made based on qualifications, merit, and business needs. We also offer accommodations to applicants with disabilities during the hiring process.