Software Engineer, Data Quality
Physical Intelligence · San Francisco
CHECKED 15H AGO
Roboticsonsite
At a glance
Highlights
- Help bring general-purpose AI into the physical world via robotics.
- Own end-to-end QA and audit for multimodal vendor data for training.
- Build tooling to scale data quality checks and vendor feedback loops.
Ideal candidate
Ops-minded builder who loves hands-on data work, measuring and improving processes, and partnering with researchers and vendors to raise data quality.
Requirements
- ~5 years of experience building customer-facing software
- Vendor management experience with third-party data providers and improving output quality
- Strong ops acumen with bias to instrument, measure and iterate quickly
- Comfort being hands-on in data, reviewing samples and refining rubrics
- Clear written and verbal communication across researchers, ops and external partners
Lab profile
About Physical Intelligence
Developing general-purpose AI foundation models to power robots for any physical task.
What they build
- General-purpose robot foundation models
- Learning algorithms for robot control
- Robotic systems and platforms
Known for
- Foundation model and system-building research
- Large-scale multimodal robot data operations
- Real-world fleet deployment and operations
- Prototype-to-production hardware engineering