AI/ML Engineer

About The Company

General Motors (GM) is a global leader in the automotive industry, driving the future of mobility through advanced self-driving and electric vehicle technologies. GM is dedicated to building the world’s most innovative autonomous vehicles to safely connect people to the places, things, and experiences they care about. The company envisions a world with Zero Crashes, Zero Emissions, and Zero Congestion, embracing the responsibility to lead transformative change that makes the world safer, cleaner, and more equitable. GM fosters a culture of internal mobility, continuous learning, and innovation, providing employees with opportunities to grow and succeed alongside industry leaders at the forefront of technology and design.

About The Role

The Principal AI/ML Engineer will play a pivotal leadership role within GM’s Autonomous Vehicle (AV) Machine Learning Infrastructure team. This position involves guiding the team to build scalable, efficient, and cutting-edge ML infrastructure that supports various AI and ML use cases across GM’s autonomous driving initiatives. The role focuses on designing and implementing distributed computing and data processing solutions leveraging cloud technologies such as Google Cloud Platform and Microsoft Azure. The successful candidate will lead large-scale initiatives, develop organizational strategies, and foster strong cross-functional collaboration to accelerate the deployment of autonomous vehicle technologies. This role does not involve applying ML models directly but centers on creating the infrastructure that empowers ML and data science teams to operate at scale.

Qualifications

• 10+ years of experience in software engineering, with a strong background in large-scale distributed systems preferred.
• 5+ years of experience leading and managing large-scale technical initiatives.
• Proficiency in building scalable cloud infrastructure using languages such as Python, C++, Golang, or similar.
• Experience working with relational and NoSQL databases.
• Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field, or equivalent practical experience.
• Demonstrated ability to develop and maintain systems at scale with high reliability.
• Strong problem-solving skills with a proven track record of delivering complex solutions efficiently.
• Passion for autonomous vehicle technology and its transformative potential.
• Strong attention to detail and commitment to accuracy.
• Startup mentality with adaptability to embrace uncertainty and wear multiple hats.
• Bonus points for experience with:
• Google Cloud Platform, Microsoft Azure, or Amazon Web Services.
• Open-source orchestration platforms such as Kubeflow, Flyte, Airflow.
• Model serving frameworks like RayServe, vLLM, Triton.
• Kubernetes and container orchestration.
• Understanding of machine learning models and pipelines.
• Relevant technical publications.
  

Responsibilities

• Lead the design, implementation, and testing of scalable distributed computing and data processing solutions using cloud technologies.
• Own technical projects end-to-end, contributing to product roadmaps and making strategic decisions on technical trade-offs.
• Collaborate effectively with cross-functional teams through planning, code reviews, and design discussions, ensuring alignment and conflict resolution.
• Mentor and onboard engineers and interns, fostering a culture of growth, knowledge sharing, and technical excellence.
• Shape the long-term vision and organizational strategy for GM’s AI/ML infrastructure efforts.
• Drive adoption of cutting-edge ML infrastructure techniques to support diverse use cases including Embodied AI, Simulation, and Data Science.
• Ensure robustness, scalability, and reproducibility of ML workflows, pipelines, and inference systems across cloud and on-premises environments.
  
  

Benefits

• Comprehensive health and wellbeing programs including medical, dental, and vision coverage.
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA) options.
• Retirement savings plans to support long-term financial security.
• Sickness and accident benefits, life insurance, and paid vacation and holidays.
• Tuition assistance and employee assistance programs.
• Exclusive GM vehicle discounts.
• Potential eligibility for relocation benefits.
• Remote/hybrid work flexibility with expectations for on-site presence if residing within a 50-mile radius of Mountain View, CA.
• Incentive pay programs based on company, job level, and individual performance.
  
  

Equal Opportunity

General Motors is committed to creating a workplace free from unlawful discrimination and fostering an inclusive environment where all employees feel a sense of belonging. Employment decisions are made without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, veteran status, or any other protected status in accordance with applicable federal, state, and local laws. GM encourages candidates of diverse backgrounds to apply and provides reasonable accommodations throughout the recruitment process to individuals with disabilities. The company is dedicated to equal employment opportunity and inclusion as core values that drive innovation and excellence.