Principal AI/ML Engineer, AV ML Infra

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About the role

Job Description We’re   General Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies.   We’re   building the world’s most innovative autonomous vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.   GM employees   have the opportunity to   grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility,   there’s   an opportunity to thrive in a variety of disciplines. This is a place for dreamers and   doers   to succeed.   If you are looking to play a part in making a positive impact   in   the world by advancing the revolutionary work of self-driving vehicles, join us.   About the team:   The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of   cutting-edge   ML techniques.   Our ML infrastructure includes:   • AI Validation & Inference:   Ensures robust model performance by running large-scale simulation workloads and managing reliable ML inference pipelines.     • ML Compute:   Streamlines and   optimizes   large-scale ML training and inference across cloud and on-prem compute resources.     • AV Pipelines & Lineage:   Orchestrate s   ML   workflows while tracking data and model lineage across diverse infrastructures, accelerating engineering velocity and ensuring reproducibility.   Together, these tools and systems empower GM to tackle the complexities of autonomous driving technology and   expedite   our path to commercialization.   Position Overview:   The Principal AI/ML Engineer will lead a growing organization, guiding the AV ML Infra team in achieving its mission while shaping long-term vision and execution strategies across GM’s AI and ML efforts. This leadership role will drive a transformative leap in our infrastructure capabilities to meet the scale we   anticipate . The leader will articulate   a clear vision   and strategy, design an organizational structure to enable effective execution, and cultivate strong partnerships across cross-functional teams and stakeholders.   Note: This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science at   scale .   What   you’ll   be doing:   • Design & Implementation:   Utilize   the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.   • Project Ownership:   Take ownership of technical projects from   inception   to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.   • Collaboration:   Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.   • Mentorship & Recruitment:   Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.   What you must have:   • 10+ years of experience, with a strong background in large-scale distributed systems preferred.   • 5+ years of experience leading and driving large-scale initiatives.   • Proficiency   in building scala

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