Principal AI/ML Engineer - Onboard Embodied AI

Job Description

Hybrid: This role is categorized as hybrid, requiring the successful candidate to report to the Mountain View Technical Center in the Bay Area at least three times per week.

Role: As a Technical Lead in Machine Learning within the Onboard Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions that directly impact autonomous driving performance. Your responsibilities include designing, architecting, and deploying advanced ML models that convert raw sensor data into actionable driving behaviors, enabling vehicles to navigate diverse real-world scenarios and conditions. You will lead technical initiatives, collaborate with cross-functional teams, mentor ML engineers, and influence the future of onboard ML capabilities.

The Onboard Embodied AI team develops groundbreaking onboard ML systems powering fully autonomous vehicles. We utilize modern end-to-end machine learning approaches with sophisticated neural networks trained on large-scale driving data and employing state-of-the-art alignment techniques. Our solutions help vehicles understand complex environments, handle uncertainty, and adapt to changing conditions. Join a collaborative team redefining autonomy through innovative machine learning, pushing technological boundaries.

Key Responsibilities:

1. Drive the design, development, and deployment of advanced onboard ML models for real-time inference and autonomous driving performance.
2. Lead and architect complex ML projects from conception to onboard implementation, emphasizing scalability, robustness, and safety.
3. Innovate in neural network architectures, training methods, and inference optimization for real-time deployment.
4. Mentor and provide technical leadership, promoting ML best practices across teams.
5. Collaborate with multidisciplinary engineering teams to integrate ML capabilities into vehicle systems.
6. Shape technical roadmaps and ML strategies aligned with company goals and product milestones.

Your Skills & Abilities:

• Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or related fields.
• At least 5 years of experience with modern machine learning techniques.
• Extensive experience developing and deploying real-time onboard ML systems.
• Proven leadership in developing robust deep learning models for safety-critical systems.
• Deep expertise in computer vision, neural architectures, representation learning, inference, and robustness.
• Strong software skills, especially in Python and C++, with experience in ML frameworks like PyTorch, TensorFlow, JAX.
• Excellent communication, collaboration, and mentorship skills.
• Bonus: Experience with AV/ADAS systems.

Compensation: The estimated salary range is $259,000 to $396,700, with actual offers based on experience and other factors. Incentive pay is available based on performance. Relocation benefits may be offered.

About GM: Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We aim to lead positive change for a better, safer, more equitable world.

Why Join Us: We foster a culture of inclusion, belonging, and meaningful impact. We support your growth and well-being from day one.

Benefits Overview: We offer comprehensive benefits to support your personal and professional life. Learn more at our Total Rewards Resources.

Non-Discrimination and Equal Opportunity: GM is committed to a diverse and inclusive workplace, making employment decisions without discrimination based on protected statuses.

Accommodations: GM provides accommodations for individuals with disabilities. Contact us via email or phone for assistance during your application process.