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Physical Intelligence Jobs (NOW HIRING)

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 ...

Arizona Department of Administration

$75K - $95K/yr

The role requires a frequent physical presence in the ACTIC and constant nurturing of the AZ-ISAC ... intelligence gathering operations that leverage both normal and Open Source Intelligence (OSINT ...

Dimensional

Product Manager

San Francisco, CA · On-site

About Dimensional Dimensional is building the foundation for physical intelligence in general-purpose robotics. We develop a unified framework that enables robots to perceive, reason, learn, and act ...

Dimensional

Community Lead

San Francisco, CA · On-site

$69.50 - $91/hr

About Dimensional Dimensional is building the foundation for physical intelligence in general-purpose robotics. We develop a unified framework that enables robots to perceive, reason, learn, and act ...

RoboForce

AI Resident

Milpitas, CA · On-site

$112K - $144K/yr

They are seeking an AI Resident to work on core challenges in embodied physical intelligence, involving research and development of advanced robotic systems. Responsibilities : • Conduct research ...

Dimensional

Growth Engineer

San Francisco, CA · On-site

Dimensional's mission is to make physical intelligence programmable, scalable, and accessible -- accelerating the development of generalist robots that can adapt, learn, and perform reliably in the ...

Arizona State Hospital

Job Page

Phoenix, AZ · On-site

$75K - $95K/yr

... physical intelligence in response to emergencies and major events within Arizona. The CTIA must have, or be able to acquire and maintain, a Federal security clearance and will be exposed to ...

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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 Jul 11, 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 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 the Physical Intelligence position, 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 is a Physical Intelligence job?

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.

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Physical Intelligence jobs near you
ML Infra Engineer

ML Infra Engineer

Physical Intelligence

San Francisco, CA • On-site

$126K - $166K/yr

Full-time

Re-posted 9 days ago

Job description

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 orchestration to building reusable and efficient JAX training pipelines. You'll work closely with researchers and model engineers to translate ideas into experiments-and those experiments into production training runs.
This is a hands-on, high-leverage role at the intersection of ML, software engineering, and scalable infrastructure.
The Team
The ML Infrastructure team supports and accelerates PI's core modeling efforts by building the systems that make large-scale training reliable, reproducible, and fast. The team works closely with research, data, and platform engineers to ensure models can scale from prototype to production-grade training runs.
In This Role You Will
- Own training/inference infrastructure: Design, implement, and maintain systems for large-scale model training, including scheduling, job management, checkpointing, and metrics/logging.
- Scale distributed training: Work with researchers to scale JAX-based training across TPU and GPU clusters with minimal friction.
- Optimize performance: Profile and improve memory usage, device utilization, throughput, and distributed synchronization.
- Enable rapid iteration: Build abstractions for launching, monitoring, debugging, and reproducing experiments.
- Manage compute resources: Ensure efficient allocation and utilization of cloud-based GPU/TPU compute while controlling cost.
- Partner with researchers: Translate research needs into infra capabilities and guide best practices for training at scale.
- Contribute to core training code: Evolve JAX model and training code to support new architectures, modalities, and evaluation metrics.
What We Hope You'll Bring
- Strong software engineering fundamentals and experience building ML training infrastructure or internal platforms.
- Hands-on large-scale training experience in JAX (preferred), PyTorch.
- Familiarity with distributed training, multi-host setups, data loaders, and evaluation pipelines.
- Experience managing training workloads on cloud platforms (e.g., SLURM, Kubernetes, GCP TPU/GKE, AWS).
- Ability to debug and optimize performance bottlenecks across the training stack.
- Strong cross-functional communication and ownership mindset.
Bonus Points If You Have
- Deep ML systems background (e.g., training compilers, runtime optimization, custom kernels).
- Experience operating close to hardware (GPU/TPU performance tuning).
- Background in robotics, multimodal models, or large-scale foundation models.
- Experience designing abstractions that balance researcher flexibility with system reliability.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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