# Applied Researcher

**Company:** [Physical Intelligence](https://zerogtalent.com/robotics-companies/physical-intelligence)
**Location:** San Francisco
**Work mode:** On-site
**Employment type:** Full Time
**Category:** Research
**Department:** Other
**Listed:** 2026-06-08

[View and apply on Zero G Talent](https://zerogtalent.com/robotics-jobs/physical-intelligence/applied-researcher-1a7a181f-c318-4e0b-9516-c7111b3e3968)

## 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.

**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**

\- Deploy and debug learned policies on physical robots, diagnosing failures across the full stack (perception, policy, control, hardware).

\- Train and tune policies, curate data, and iterate to improve real-world performance.

\- Write production-quality code that interfaces with Pi’s infrastructure.

\- Work with operators to set up tests, evals, and data collection pipelines.

\- Engage with partners to understand use cases and observe robots in deployment contexts.

\- Bridge research and operations: translate research advances into deployable systems, and surface real-world failure modes back to researchers and (software and hardware!) engineers.

\- Define and shape a vision for what real-world deployments will look like in the long-term

**What We Hope You’ll Bring**

\- Hands-on experience deploying robots or autonomous systems in real-world environments

\- Strong engineering skills: clean Python, ability to interface with infrastructure, debugging instincts

\- Ability to debug the full stack from perception to control

\- Practical mindset: motivated by making things work, not by open-ended research

\- Clear communication with researchers, operators, and occasionally partners

**Bonus Points If You Have**

\- Founded or worked at an early-stage robotics or AV company

\- PhD in relevant field

\- Intuition for policy training, neural network debugging, and data curation

\- Experience with robot manipulation platforms

  

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

## Other open roles at Physical Intelligence

- [Deployment & Engagement Operations Lead](https://zerogtalent.com/robotics-jobs/physical-intelligence/deployment-engagement-operations-lead-a7bfa681-3e71-42af-b72f-a9ec144434c6) — San Francisco
- [Lead Security Engineer](https://zerogtalent.com/robotics-jobs/physical-intelligence/lead-security-engineer-b17fe406-ef13-4eb2-9ebc-e90979321c4e) — San Francisco
- [Environment Coordinator](https://zerogtalent.com/robotics-jobs/physical-intelligence/environment-coordinator-2907bb5a-c750-4f0a-93d7-db59bcaff76f) — San Francisco
- [Environment Manager](https://zerogtalent.com/robotics-jobs/physical-intelligence/environment-manager-4160110b-2908-400b-a925-5e07b1cc362a) — San Francisco
- [Environment Specialist](https://zerogtalent.com/robotics-jobs/physical-intelligence/environment-specialist-daa49953-755a-40dc-9959-7a2feff7f3bb) — San Francisco

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*Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*