Staff Machine Learning Engineer, ML Compute - US Remote

We're Cruise, a self-driving service designed for the cities we love.

We’re building the world’s most advanced self-driving 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.

In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work. 

Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.

(Additional locations: San Francisco CA, Sunnyvale CA)

The ML Compute Platform is part of Cruise’s AI Foundation org and owns cloud-agnostic, reliable, and cost-efficient compute backend for the specific needs of Cruise AI. We enable high agility for building new features, supporting innovation, and optimizing for prioritized use cases that are relevant to Cruise AI/ML today, and in the future. This team is tasked with ensuring the reliable training and deployment of SOTA ML models and associated workloads, prioritizing high performance, concurrency, availability, and scalability. We emphasize enhancing efficiency in both ML training and deploying cutting-edge foundational models, along with maximizing the utilization of powerful GPUs such as H100, A100 and more. Our …