Gm Cruise - San Francisco, CA
posted 2 months ago
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. At Cruise, the AI Foundations organization (AIF) builds the essential AI infrastructure used by every ML engineer at Cruise. AIF's goal is to support the AI lifecycle through the ML data platform, the ML training platform as well as deploying large complex ML models to the on-vehicle hardware under tight real-time constraints. AIF's mission is to provide the highest levels of reliability, the fastest developer velocity at the lowest cost footprint through these platforms and services. Cruise is building large foundational models that are customized to solve the autonomous driving challenges. This naturally implies that the ML systems and training infrastructure must scale to the requirements of these large models. Deploying these large models to edge (on-vehicle) hardware is another critical challenge. In this role, as a Senior Staff engineer on this team, you will be leading the vision/strategy as well as tech-leading the execution to solve these hard problems. Cruise is a highly collaborative and dynamic work environment. In this role, as an uber TL, you will be responsible for collaboratively working with partners on the ML teams (Autonomy) to inspire a technical strategy / vision and drive execution through a cross-functional team.