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Physical Intelligence Jobs (NOW HIRING)

Physical Intelligence

Robot Operator

San Francisco, CA · On-site

$25/hr

About Physical Intelligence Physical Intelligence is building the future where AI-powered robots seamlessly integrate into our daily lives. Imagine a robot that can fold your laundry, prepare meals ...

Physical Intelligence

People Ops

San Francisco, CA · On-site

Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning ...

Physical Intelligence

Controls Engineer

San Francisco, CA · On-site

$98K - $127K/yr

Create and refine physical and inverse dynamics models for simulation and control design. * Develop real-time loops: Write and optimize runtime control loops, including neural-network-driven control.

Physical Intelligence

ML Infra Engineer

San Francisco, CA · On-site

$126K - $166K/yr

In this role you will help scale and optimize our training systems and core model code. You'll own critical infrastructure for large-scale training, from managing GPU/TPU compute and job ...

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Physical Intelligence information

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$45.5K

$104.6K

$144K

How much do physical intelligence jobs pay per year?

As of Aug 21, 2026, the average yearly pay for physical intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What is physical intelligence?

A Physical Intelligence job involves understanding and optimizing the body's natural abilities to perform tasks efficiently and effectively. It often encompasses movement science, biomechanics, and kinesthetic awareness to enhance human performance in fields like sports, healthcare, robotics, or workplace ergonomics. Professionals in this field may work as trainers, therapists, researchers, or consultants, helping individuals or teams improve physical skills and resilience. Roles may also include developing technology or strategies to measure and enhance physical performance.

What are common daily responsibilities for someone working in physical intelligence?

Professionals in Physical Intelligence often spend their days collecting and analyzing movement or ergonomic data, developing strategies to optimize human performance, and integrating new technologies to improve efficiency or safety. They may collaborate with engineers, designers, or healthcare professionals to translate data insights into actionable recommendations. Routine tasks can include running experiments, validating system performance, or conducting user studies with specialized equipment. Much of the role involves problem-solving and adapting to new challenges, making it dynamic and well-suited for those who enjoy a blend of technical and interpersonal work.

What are the key skills and qualifications needed to thrive in physical intelligence, and why are they important?

To excel in a Physical Intelligence role, candidates typically need a background in movement sciences, biomechanics, kinesiology, or human factors engineering, with strong analytical and problem-solving skills. Experience with motion capture technology, wearable sensor systems, and data analysis software such as MATLAB or Python is often required. Exceptional observational skills, communication, and teamwork distinguish top performers in this field. These abilities are essential to effectively study, optimize, and implement physical processes and human-machine interactions in real-world environments.

What careers value physical intelligence?

Physical intelligence is highly valued in careers such as physical therapist, athletic trainer, firefighter, and construction worker, where understanding body movement, coordination, and physical awareness is essential. These roles often require hands-on skills, physical fitness, and sometimes certifications or training in biomechanics or safety protocols.
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Physical Intelligence jobs near you
Infographic showing various Physical Intelligence job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $104,643 per year, or $50.3 per hour.

Deployments Software Engineer

Physical Intelligence

San Francisco, CA • On-site

$150 - $210/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Who We Are

Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.

Deploying robots into the real world takes more than a capable model - it takes designing a physical system that s fast, safe, and reliable enough to run unattended on a customer's floor, backed by software you can observe, debug, and trust if something goes wrong.

As a Robotics Software Engineer, you ll build that system. You ll integrate state-of-the-art models with robots that work on-site - building system safeguards, the teleoperation interfaces operators rely on, and the latency optimizations that make remote control feel instant. You ll work with researchers, platform engineers, and robot operators to make the whole stack dependable enough that customers bet their operations on it.

The Team

The Deployments team is responsible for solving real world problems with our models and robots. We tackle the full problem space: integrating with customer workflows, training models to solve their dexterous tasks, and ensuring the on-site reliability of the system. This breadth of problem space is why we re a full-stack robotics team - whether it s thinking about customer facing experiences or fine-tuning models for tasks no robot has done before, we put forth the best solution Pi has to offer.

In This Role You Will
  • Design remote teleoperation interfaces: Develop comfortable and precise interfaces for controlling robots with many degrees of freedom
  • Optimize for low-latency network performance: Engineer teleoperation interfaces that can continue functioning even in weak internet areas
  • Optimize System Performance: Profile and optimize across compute, I/O, memory, scheduling, networking, and storage to meet real-time constraints and increase throughput.
  • Streaming & Video Systems: Develop and optimize real-time video streaming systems where frame timing and packet scheduling matter.
  • Reliability & Debugging: Build tooling for profiling, tracing, and debugging timing issues across distributed systems and hardware interfaces.
  • Cross-Functional Collaboration: Work with researchers, hardware engineers, and operations teams to integrate optimized pipelines into production workflows.
What We Hope You ll Bring
  • Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software.
  • Background in real-time or near-real-time systems, VR/AR, video pipelines, 3D engines, or streaming systems where latency budgets are strict.
  • Ability to optimize across the entire stack - drivers, networking, compute workloads, video frameworks, and distributed components.
  • Experience with profiling tools (perf, tracing, eBPF, GPU profilers, network analyzers) and comfort diving into complex performance issues.
  • A mindset oriented around determinism, throughput, frame budgets, jitter minimization, and real-time correctness.
  • Ability to collaborate deeply with robot users, researchers, and platform engineers to build a precise and comfortable teleoperation interface.
Bonus Points If You Have
  • Experience with robot teleoperation systems, VR/AR platforms, or low-latency 3D engines.
  • Camera system expertise (synchronization, capture pipelines, codecs, GPU offload).
  • Streaming/video conferencing stack experience (WebRTC, real-time transport optimizations).
  • Background in robotics or autonomous systems (implementation, not research).
  • Familiarity with distributed systems that process real-time data flows.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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