Humble Robotics
Data Engineer
San Francisco · On-site · Full-time · Posted Apr 21, 2026
- Education
- BS, MS, or PhD in Computer Science, Engineering, Robotics, or a related field — or equivalent industry experience
- Visa sponsorship
- Eligible to work in the United States
About the job
Builds and maintains data systems that transform vehicle driving data into reliable, queryable datasets for autonomy model training, evaluation, and debugging.
What you'll do
- Build pipelines to ingest, validate, and process multimodal vehicle sensor logs.
- Design data schemas, models, and tools for discovering, querying, and assembling datasets.
- Collaborate across teams to move data from collection through model training and help scale the data stack.
What they ask for
- BS, MS, or PhD in Computer Science, Engineering, Robotics, or a related field, or equivalent industry experience.
- Strong proficiency in Python and maintainable code.
- Solid database fundamentals and schema-design skills.
- Working understanding of how ML training pipelines consume data; eligible to work in the United States.
Nice to have
- Experience with autonomous vehicle, robotics, or similar data; visualization tools such as Foxglove or rerun; or data catalogs, metadata stores, or feature stores.
- Experience with terabyte-plus multimodal data or cloud data engineering on GCP or AWS.
Tools
Python, Bazel, Foxglove, rerun, GCP, AWS
AI focus
The role prepares data for ML training, evaluation, and debugging. The interview process may use AI tools to compare applicants’ qualifications and experience with the job description; a human reviews the output and makes the final hiring decision.
Model-written summary · the original posting is authoritative