Who we are
Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.
The team
Within Ops, there are three functions: Prototyping, Process Engineering, and Production Ops. This role will sit in Prototyping — the starting point of the pipeline, where research intent gets translated into executable plans before anything moves downstream.
In this role you will:
-Own validation of instructions before release to Production Ops, ensuring accuracy, completeness, and execution readiness
-Translate prototyping outputs into structured, production-ready instructions with consistent logic and formatting
-Determine the best method for instruction delivery to end users
-Work with international team to ensure delivery is appropriate for their team – alternative language instructions, videos, etc.
-Define and maintain instruction templates in partnership with Process Engineering
-Manage and support the onsite instruction-writing team, including review workflows and prioritization
-Establish scalable documentation processes across data collection, evaluation, scorecard, and QA instruction sets
-Partner with Prototyping to improve handoff quality and reduce downstream rework
-Represent instruction-writing requirements in tooling, template design, and release standards
-Define and track instruction quality and coverage metrics as output scales
-Support international rollout by ensuring instructions are localization-ready, regionally adaptable, and usable across distributed Production Ops teams
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Skills Required
- Experience managing documentation processes
- Ability to work with international teams
- Strong understanding of AI and Prototyping
What We Do
Physical Intelligence is bringing general-purpose AI into the physical world, developing foundation models and learning algorithms to power robots and other physically-actuated devices.
