Physical Intelligence
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.
AI Frontier · Robotics foundation models (PI)
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 |
|---|---|---|
| Robot Operator This role involves teleoperating robotic arms to collect high-quality demonstration data for training foundation models for physical world AI. The operator will perform various tasks, maintain data quality, and meet collection metrics. It's a hands-on, metrics-driven position focused on generating training data for AI-powered robots. | Data | 8 |
| ML Infra Engineer (TPU/Jax/Optimization) ML Infra Engineer focused on scaling and optimizing training systems and core model code, managing GPU/TPU compute, job orchestration, and building efficient JAX training pipelines. Collaborates with researchers to translate ideas into production training runs. | Data | 8 |
| ML Infra Engineer ML Infra Engineer to scale and optimize training systems and core model code, managing GPU/TPU compute, job orchestration, and JAX training pipelines. Collaborates with researchers to translate ideas into production training runs. |
| Data |
| 8 |