Jobs at Physical Intelligence

Build internal fullstack products and human-robot interfaces for operating, monitoring, debugging, and deploying robots. Responsibilities include realtime video and robot-state systems, safety-focused UX, on-device and cloud architecture, fleet versioning, observability, workflow measurement, and direct user-driven product development. The role partners with researchers, operators, and roboticists across lab, warehouse, and field environments.

Design, prototype, test, and integrate robotic arm and mobile platform subsystems spanning mechanical, electrical, embedded, and software disciplines. Responsibilities include hardware bring-up, assembly, calibration, reliability testing, data-driven debugging, and root-cause analysis. The intern will own subsystem development from CAD and PCB work through bench testing while supporting robotics data collection and model training operations.

Own high-volume recruiting for Robot Operators and related site-based roles in San Francisco. Build candidate pipelines through job boards, referrals, partnerships, events, schools, and community organizations; conduct efficient initial screens; manage funnel throughput and candidate experience; track conversion metrics; partner with operations leaders; and improve repeatable recruiting processes and automation.

Design and implement embedded firmware for data-collection devices, including embedded Linux bring-up, sensor drivers, BSP customization, kernel debugging, hardware/software integration, performance tuning, and power optimization. Collaborate with research, hardware, software, and fleet teams to develop first-of-their-kind devices, debug complex concurrency and interface issues, and bring products from concept to production.

Coordinate bookings, site readiness, props, transportation, vans, movers, vendors, and setup logistics for PiBnB locations. Serve as the central point of contact among hosts, operators, drivers, vendors, and internal teams. Resolve operational issues, track equipment and site needs, and create repeatable checklists, trackers, templates, and workflows to improve deployment efficiency and scalability.

Build and deploy internal AI tools, agents, integrations, automation, and workflows that improve productivity across engineering, research, operations, and recruiting. Drive adoption through enablement, documentation, training, and best practices. Evaluate AI tools, measure impact, and ensure secure data access and permissions while partnering across technical and business teams.

Own and optimize infrastructure for large-scale ML training and inference. Build JAX-based pipelines, manage GPU and TPU workloads, improve distributed performance, and create systems for scheduling, monitoring, checkpointing, debugging, and reproducible experimentation. Partner with researchers to translate modeling ideas into production training runs and contribute to core training code supporting new architectures, modalities, and evaluation metrics.

This role involves executing cross-functional projects, driving partnerships, managing deployment efforts, and supporting communications with investors and external parties.

Design and implement control algorithms for robotics, develop real-time control loops, and debug complex hardware/software issues while collaborating with cross-functional teams.

As a Forward Deployed Robotics Engineer, you'll manage robotic systems' technical issues in real-world settings, performing diagnostics, collaborating with teams, and analyzing data for resolution and improvements.

Deploy, debug, and iterate learned policies on physical robots across perception, policy, control, and hardware. Train and tune policies, curate data, build production-quality code, set up tests and data pipelines with operators, engage partners in deployment contexts, and translate research advances into reliable, real-world robotic systems.

Design and implement low-latency teleoperation interfaces and real-time video/streaming systems for on-site robots. Profile and optimize across drivers, networking, compute, and storage; build reliability, tracing, and debugging tooling; collaborate with researchers, hardware engineers, and operators to deploy dependable production robotics systems.

Engineer low-latency, high-throughput sensor and actuator pipelines, optimize system performance, and integrate complex models into real-time workflows while collaborating across teams.

Full-lifecycle technical recruiter owning searches for ML, robotics, systems, and infrastructure roles. Source passive top-tier candidates, design interview processes, advise on compensation and closing strategies, partner with founders and hiring managers, build market maps and dashboards, and steward candidate experience with data-driven sourcing and hiring approaches.

Own quality assurance and auditing for multimodal data sourced from external vendors. Build scalable software tooling and infrastructure for sampling, review workflows, quality checks, audit trails, and vendor reporting. Define measurable data standards with researchers, manage vendor feedback loops, and improve data quality through instrumentation and iterative processes. The role also requires hands-on sample review, rubric development, cross-functional communication, and approximately five years of customer-facing software experience.

Build and operate large-scale data infrastructure for robot learning: ingest, validate, transform, and featurize multimodal data; run batch and streaming workflows; design storage and metadata systems; optimize training-time performance; manage data movement and lifecycle; implement observability and guardrails; collaborate with researchers and engineers.

Own delivery of company-critical research and deployment initiatives: define scope, prioritize work, allocate resources, build execution plans, direct cross-functional execution, resolve risks and bottlenecks, run stakeholder communications, and improve operational systems as the organization scales.

Manage HR operations including onboarding, payroll administration in Rippling, benefits and HRIS data integrity, compliance with Federal/CA/SF laws, and partner on employee relations, leaves, and HR process design to support growth.

This position offers internship opportunities for individuals interested in gaining research experience.

Lead end-to-end NPI program execution for robotic hardware platforms: schedule and risk management, material forecasting, CTB analysis, build planning, vendor coordination, logistics readiness, configuration management, and cross-functional handoffs to fleet integration to support research and deployments.