Physical Intelligence

Physical Intelligence is developing foundation models and learning algorithms to power robots and physically-actuated devices. This role is part of the Runtime team, with deep collaboration across Research, Hardware, and Fleet teams. You will drive the architecture and implementation of embedded firmware for critical data collection devices and ensure seamless integration with existing and future data pipelines.

Physical Intelligence is seeking an AI Productivity Software Engineer to build and deploy tools that enhance AI utilization across the company. This role involves collaborating with various teams, including engineering, research, and operations, to identify opportunities for AI-driven leverage and translate them into robust internal tools and workflows. The position is within the Runtime team, focusing on AI tooling to make AI agents, assistants, integrations, and automation effective for company-wide use. The goal is to deeply understand team workflows, build tailored tools, and drive their adoption to become integral to the company's operational rhythm.

Physical Intelligence is seeking an ML Infra Engineer specializing in Data Systems to build and operate the data infrastructure powering large-scale robot learning. This role is crucial for bridging raw data sources and training/evaluation processes, aiming to accelerate development while ensuring performance, correctness, and reliability at scale. It's a systems-focused position at the intersection of distributed systems, storage, and machine learning infrastructure, contributing to the foundational platforms that enable large-scale learning.

Physical Intelligence is building foundation models and learning algorithms to bring general-purpose AI into the physical world. The People Operations role sits within the People team, reporting to the HRBP and working closely with recruitment, the Head of People, and our Business Operations lead. This is a high-ownership role where you will build the systems and programs that support PI's workforce as the company scales. Your operational precision will directly enable the team to move faster and stay compliant.

$300k - $500k

Physical Intelligence is seeking a Data Annotation Lead to manage and scale annotation operations and the team responsible for it. As annotation is crucial for model improvement and demand is rapidly increasing, this role will focus on expanding the annotation workforce from hundreds to thousands while simultaneously enhancing quality. You will be responsible for designing the organizational structure, training pipelines, quality systems, and key metrics to ensure efficient scaling. This position involves owning the people and the operation, encompassing throughput, quality, cost, and delivery across all annotation types.

Physical Intelligence is developing foundation models and learning algorithms to power robots and future physically-actuated devices. This role focuses on building the systems that enable robots to operate reliably and safely in real-world customer environments. You will integrate state-of-the-art models with robots, design system safeguards, develop teleoperation interfaces, and implement latency optimizations for remote control. You will collaborate with researchers, platform engineers, and robot operators to ensure the entire stack is dependable enough for customers to rely on for their operations.

Physical Intelligence is building general-purpose AI for the physical world, developing foundation models and learning algorithms for robots and future physically-actuated devices. The Deployments team focuses on solving real-world problems by integrating with customer workflows, training models for dexterous tasks, and ensuring system reliability. This full-stack robotics role involves everything from customer-facing experiences to fine-tuning models for novel tasks, aiming to deliver the best solutions.