Physical Intelligence
AI Frontier · Robotics foundation models (PI)
AI Frontier · Robotics foundation models (PI)
Physical Intelligence currently has 7 active AI-related job listings. The majority of these roles, 71%, are focused on data. Engineering is the dominant function, with 5 positions. The company is hiring for roles that frequently involve embodied_ai, multimodal, and vision technologies.
Currently tracking 7 active AI roles, up 17% versus the prior 4 weeks. Primary focus: Data · Engineering. Salary range $52k.
Physical Intelligence currently has 8 active AI-related roles in our index. The most common open titles are: Applied Researcher, Controls Engineer, Deployments Software Engineer, ML Infra Engineer, ML Infra Engineer (TPU/Jax/Optimization). Most positions are in Engineering and Research.
Physical Intelligence's active AI hiring is concentrated in: data (63%), agents (25%), application (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Physical Intelligence is hiring AI talent in: United States (8 roles).
Job postings at Physical Intelligence most frequently reference: embodied ai, model serving, multimodal, rl robotics, inference infra.
In the past 30 days, Physical Intelligence has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Instruction Writing Lead This role focuses on creating and validating instructions for AI-powered robots, ensuring accuracy, completeness, and readiness for production. It involves managing a team, defining documentation processes, and tracking quality metrics for instruction sets used in data collection, evaluation, and QA. | — | 5 |
| Business Operations Physical Intelligence is building foundation models and learning algorithms for robots. This Business Operations role will work closely with founders and cross-functionally to drive business execution, including partnerships, operations, infrastructure, and deployment. The role requires strong analytical and strategic instincts, comfort with ambiguity, commercial mindset, and excellent communication skills. Experience in consulting, finance, or startups is a plus. | — | 0 |