Gm Cruise - San Francisco, CA
posted 2 months ago
At Cruise, we are at the forefront of developing the world's most advanced self-driving vehicles, aiming to reshape urban mobility and enhance the quality of life for individuals. Our AI Robotics team plays a crucial role in this mission by building and scaling foundational technologies that support machine learning infrastructure, training and evaluation pipelines, and advanced learning algorithms. This foundation is essential for our researchers and engineers as they tackle critical challenges in Autonomous Vehicle (AV) decision-making, including trajectory generation and scoring, as well as predicting the behavior of other road users. We are committed to creating a stable, reliable, and scalable architecture that enables continuous learning and data-centric AI, ultimately improving the performance of our AVs in diverse urban environments. In this role, you will be responsible for designing and implementing shared infrastructure and tooling among the AI Robotics teams. You will identify opportunities to unify approaches and enhance developer velocity, while also exploring and prototyping new algorithms from a research perspective. On the development side, you will drive efforts to optimize and refine on-road performance for models as they transition to production. Your work will involve building training frameworks, data infrastructure, and metrics pipelines to accelerate the training and feedback loop for AI projects. You will own the quality of development, ensuring that solutions are scalable, secure, and optimized for user experience and performance. Additionally, you will manage technical projects from inception to completion, making significant technical decisions and participating in planning, code reviews, and design discussions. Collaboration with partner teams will be essential to ensure that they benefit from the systems you build, and you will proactively manage any conflicts that arise across teams.