Source description
About the role
We're looking for an ML infrastructure engineer to help design, build, and scale the foundational systems we need to realize our ambitious vision. You'll work on tooling and infrastructure that supports every stage of the ML training flywheel and be an important voice in the technical and organizational decisions that shape our work. From areas spanning vehicle compute to data collection to dataset curation to large-scale model training and deployment, help us build reliable, performant, and secure infrastructure that every team at Humble Robotics can rely on. It's fun here. We are doing cool stuff.
The ideal candidate is a first-principles thinker who is comfortable being a broad generalist. Work on every layer of the stack to help make the software iteration loop as fast and efficient as possible. We're a small team, and your input, experience, and knowledge will play a critical role in shaping every system we build, operate, and depend on to achieve our mission.
More at Humble Robotics
Related open roles
Calibration and Localization Engineer
San Francisco Bay Area · Onsite
Data Engineer
San Francisco Bay Area · Onsite
Controls Engineer
United States · Onsite
Simulation Engineer
United States · Onsite
Staff Functional Safety Engineer
San Francisco Bay Area · Onsite
Senior/Staff Hardware Systems Engineer
San Francisco Bay Area · Onsite
