Physical Intelligence

You'll contribute to **AI & Robotics research** projects in a **San Francisco-based lab**, gaining hands-on experience with cutting-edge technologies and collaborating with leading researchers.

You'll own **interview scheduling** and **candidate experience** end-to-end at Physical Intelligence, a startup building general-purpose AI for the physical world. You'll design and scale recruiting workflows that become the company's operating system. This role offers **clear upward trajectory** into recruiting or people ops.

You'll lead a team translating research prototypes into **production-ready instructions** for our robotic systems. Your work ensures **accuracy and execution readiness** across international operations teams. This role sits at the intersection of research and manufacturing, defining standards for scalable documentation.

You'll join the core hardware team to support the development and improvement of infrastructure for a fleet of robots in **warehouses and real-world environments**. You'll work at the intersection of mechanical, electrical, and systems engineering, **diagnosing field failures and building test protocols**. This internship offers hands-on experience in **robotics reliability and production**.

You'll join a team building **general-purpose AI for physical robots**, collaborating with hardware design engineers to **build, test, and refine early stage robots**. Your hands-on work will directly **shape future robot designs** and improve their reliability.

You'll drive **cross-functional projects** with high ambiguity at a **general-purpose AI company** building foundation models for robots. You'll act as an execution arm for founders, turning priorities into measurable outcomes and scaling internal operations.

You'll **teleoperate robotic arms** to generate high-quality training data for AI-powered robots. Your demonstrations teach AI tasks like folding laundry and assembly. This role directly impacts cutting-edge robotics research.

You'll own the **infrastructure and developer platforms** that underpin engineering workflows, including GitHub-based CI/CD pipelines, Bazel build systems, and Kubernetes services. Your core impact is enabling engineers to **ship reliably at scale**. This senior hands-on role focuses on developer productivity and operational leverage.

You'll **scale and optimize training systems** and core model code, owning critical infrastructure for large-scale training. You'll work closely with researchers to **translate ideas into production runs**. This is a high-leverage role at the **intersection of ML, software engineering, and scalable infrastructure**.

You'll maintain **advanced robotic systems**, ensuring peak performance and minimizing downtime. Your work will directly impact the reliability of our **dynamic, high-tech environment**. This role blends **hands-on electrical and mechanical repair** expertise.

You'll own **intelligent job scheduling and placement** for large-scale AI training across heterogeneous GPU/TPU clusters. You'll design multi-tenant scheduling systems that automatically route jobs to the best cluster based on availability, hardware fit, cost, and priority. This role directly unblocks research velocity by making compute scaling seamless.

You'll work at the intersection of hardware, software, and large-scale model training to develop **autonomous robot policies** that operate robustly in the real world. You'll shape the datasets, infrastructure, and research directions that define how **vision-language-action models** are built. This role offers the opportunity to define the technical roadmap for **general-purpose physical intelligence**.

You'll engineer **low-latency, high-throughput systems** for a physical intelligence platform. You will **optimize every layer from OS to camera pipeline to networking** to make ML models run flawlessly in production. This role focuses on **real-time performance and reliability** at the intersection of robotics and AI.

You'll drive hardware architecture for **robotic devices**, from component selection to PCBA, and lead **imaging system design** with high-resolution sensors. You'll own schematic/layout for **complex, space-constrained enclosures** and validate designs through testing.

You'll join the core Hardware Engineering team to design and build robotic arms, mobile platforms, and end-effectors that power **data collection and model training operations**. You'll own full-stack subsystem development from CAD to PCB to bench testing, with hands-on prototyping and cross-disciplinary integration. This role offers deep exposure to **tight integration between mechanical, electrical, and embedded design** in a real-world robotics environment.

You'll **own training and inference infrastructure** for large-scale ML models, working closely with researchers to scale **JAX-based training** across TPU and GPU clusters. Your work will directly enable rapid iteration from experiments to production runs.

You'll develop test processes and execute testing on robotic systems from early prototypes to production. Your work ensures our fleet meets performance and reliability standards, collaborating with hardware and software teams to resolve issues. **You'll build test systems** and perform **root cause analysis on failures**, driving corrective actions.

You'll **design and implement control algorithms** for PI's robots, ensuring predictable behavior under uncertainty. The core impact is building **real-time control loops** and debugging complex system behaviors. This role offers **deep collaboration with research and hardware teams** to bring learning-based systems to life.

You'll build and assemble **robotic systems** for data collection and model training, working directly with the Hardware Engineering team to bring robots from prototype to production. You'll ensure quality and reliability through **test protocols and documentation**.

You'll own **robot platform fleet integration** for a **general-purpose AI robotics company**, ensuring every robot performs reliably in the field. You'll drive system acceptance testing, sustainment, and cross-functional improvements to power foundation models.

You'll serve as the first line of technical defense for our growing fleet of robotic systems in warehouse and data-collection environments. You'll triage field issues, reproduce problems, and drive resolution to ensure **maximum fleet uptime**. This role offers the chance to impact **multi-robot fleet operations** in real-world settings.

You'll advance **machine learning** and **robotics** research with a focus on both theoretical and implementation breakthroughs. This role offers the chance to work on fundamental algorithmic advances in a team at the forefront of AI. **System-building** and conceptual innovation are equally valued.

You'll own the full spectrum of **mechanical development** for robotic systems, from concept to production. You will drive design decisions, prototyping, and system integration to ensure **reliability and deployability**. This role offers hands-on innovation in a **startup environment**.