---
title: 'Robotics Technician at Physical Intelligence'
canonical: 'https://feeny.ai/job/robotics-technician-physical-intelligence-san-francisco-8ppj3cnykt8c'
type: 'job'
last_seen: '2026-10-18'
---

# Robotics Technician at Physical Intelligence

- **Company:** Physical Intelligence
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-07-30
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/physicalintelligence/11208bdc-a679-4cf7-b7a9-67848f7660ab/application

**Skills:** Mechanical systems repair, Electrical systems repair, Troubleshooting, Diagnostics, Hands-on repair

> Maintain advanced robotic systems by performing electrical and mechanical upkeep to ensure peak performance and minimize downtime. The role involves troubleshooting, diagnostics, and hands-on repairs in a high-tech environment.

## Job description

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 Robotics Technician works closely with PI’s fleet operations and engineering teams, to maintain the robotic platforms that power our AI research. The team is collaborative, fast-moving, and deeply technical — and this role is a direct partner to operations and engineers building and improving the systems you’ll maintain. In This Role You Will

- Electrical Maintenance: Repair electrical systems including wiring, circuits, power supplies, sensors, and control systems; conduct regular electrical inspections and preventive maintenance on robotic units
- Mechanical Maintenance: Repair mechanical components such as actuators, motors, gearboxes, bearings, and moving parts; perform inspections, alignments, and calibrations to keep systems within spec
- Diagnostics & Testing: Perform tests using diagnostic tools, multimeters, oscilloscopes, and specialized equipment; interpret electrical schematics and wiring diagrams to locate and resolve issues
- Documentation: Maintain thorough documentation of repairs, part replacements, and maintenance activities using Linear and Notion
- Hardware Feedback: Propose solutions to the hardware engineering team for ease of repair, component standardization, and improved maintainability
- Safety & Compliance: Ensure all work complies with company standards, safety regulations, and industry best practices; identify potential hazards and initiate corrective actions

## What We Hope You’ll Bring

- Associate degree in Electrical/Mechanical Engineering, Robotics, or a related technical field (bachelor’s a plus), or equivalent hands-on experience
- 2+ years of experience in electrical and mechanical maintenance, with a background in robotics, automation, or a related industry
- Proficiency in troubleshooting and repairing electrical systems (AC/DC motors, wiring, controllers) and mechanical components (motors, gears, bearings)
- Experience with diagnostic tools including multimeters, oscilloscopes, and PLCs
- Ability to read and interpret technical manuals, schematics, and engineering drawings
- Proficiency with hand tools, power tools, and industrial-grade equipment
- Strong attention to detail and excellent communication and teamwork abilities

Bonus Points

- Relevant certifications in electrical or mechanical systems (e.g., ASE, NATE, IPC or equivalent)
- Familiarity with robotics systems, automation technologies, and fleet management tools
- Experience working in a fast-moving startup or research environment

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

## About Physical Intelligence

## Company Overview
- **One-liner**: Physical Intelligence is building general-purpose AI foundation models that can control any robot to perform any physical task, aiming to bring the flexibility of large language models into the physical world.
- **Entity Type**: Private (Series A/B stage; total funding $1.07B across multiple rounds)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Sergey Levine (UC Berkeley), Chelsea Finn (Stanford), Karol Hausman (CEO, ex-Google DeepMind), Lachy Groom (ex-Stripe), Quan Vuong (ex-Google DeepMind), Brian Ichter, and Adnan Esmail

## Core Business
- **Primary industry**: Robotics foundation models / Artificial Intelligence / Research Services
- **Target customers**: B2B enterprise – logistics, grocery, manufacturing, and other verticals requiring physical automation (currently testing with a small number of partners)
- **Mission**: “Bringing general-purpose AI into the physical world” – developing learning algorithms and foundation models to power robots and other physically-actuated devices

## Products & Services
- **π0 (pi-zero)**: First generalist policy released in October 2024; a vision-language-action (VLA) model capable of dexterous multi-task robot control. Open-sourced in February 2025.
- **π0.5**: VLA with open-world generalization (April 2025); can control a mobile manipulator to clean unfamiliar kitchens or bedrooms.
- **π0.7**: Steerable robotic foundation model with emergent capabilities (April 2026); can control a new robot platform without additional training.
- **π*0.6**: VLA trained with reinforcement learning to improve success rate and throughput on real-world tasks (November 2025).
- **FAST**: Efficient robot action tokenizer enabling 5x faster training of generalist policies (January 2025).
- **Multi-Scale Embodied Memory (MEM)**: Gives models long- and short-term memory for tasks exceeding ten minutes (March 2026).
- All offerings are research-stage models; the company does not currently sell a commercial product but partners with select companies for testing.

## Market Standing
- **Valuation**: $5.6 billion (as of January 2026, per TechCrunch)
- **Total Funding**: $1.07 billion across four rounds:
  - Seed (March 2024): $70M led by Lux Capital and Thrive Capital
  - Series A (November 2024): $400M led by Lux Capital and Thrive Capital
  - Venture Round (November 2025): $600M from 8 investors
  - Venture Round (March 2026): undisclosed amount from 4 investors
- **Notable Investors/Partners**: Khosla Ventures, Lux Capital, Thrive Capital, Sequoia Capital, OpenAI, CapitalG, Redpoint Ventures, Bond
- **Growth Signals**: Headcount grew 183.5% year-over-year to 163 employees (LinkedIn, mid-2026); the company states it has “blown through” its original 5-10 year roadmap in just 18 months; test deployments in logistics, grocery, and food production.

## Competitive Advantages
- **Cross-embodiment learning**: Models can transfer knowledge to any new robot hardware without starting data collection from scratch, lowering the marginal cost of onboarding autonomy.
- **Pure research focus**: Unlike competitors (e.g., Skild AI), Physical Intelligence deliberately avoids near-term commercialization, allowing the team to pursue general intelligence without product pressure.
- **World-class founding team**: Combination of top robotics academics (Levine, Finn) and experienced entrepreneurs/operators (Groom, Hausman).
- **Open-source release**: π0 weights and code are publicly available, fostering community contributions and accelerating research.

## Strategic Focus
- Current priorities include scaling foundation models to more tasks and environments, improving generalization and robustness, and expanding partnerships for real-world testing.
- The company explicitly does not give investors a timeline for monetization; instead it focuses on building general-purpose physical intelligence with a 5-10 year horizon (though progress has been faster than expected).
- Future strategy centers on continuous improvement via a loop of data collection → training → evaluation → more data, rather than rapid deployment.

## Why Work Here
- **Culture**: Described as a “pure company” – internally driven by research needs, not external market demands. Highly collaborative, with a mix of engineers, scientists, and roboticists working together.
- **Work Environment**: Hybrid/in-office – most roles require on-site presence in San Francisco (396 Treat Ave), though some remote flexibility exists. In-office setting with a “no reception” vibe, open lab space with robot stations.
- **Growth**: Team has scaled from ~80 (Jan 2026) to 163 (mid-2026) and is still hiring across research, ML infra, hardware, and engineering roles. Plans to grow “as slowly as possible” to maintain quality.
- **Perks & Engineering Highlights**: Access to cutting-edge robotics hardware and compute resources; opportunity to publish research and open-source code; exposure to a wide variety of real-world automation challenges (e.g., robots learning to fold pants, peel vegetables, make espresso). Employees come from top institutions like Berkeley, Stanford, Google, NVIDIA, and Anduril.

## Sources
1. [physicalintelligence.company](https://www.physicalintelligence.company/) – Official website, model releases, and values
2. [TechCrunch](https://techcrunch.com/2026/01/30/physical-intelligence-stripe-veteran-lachy-grooms-latest-bet-is-building-silicon-valleys-buzziest-robot-brains/) – In-depth profile including valuation, strategy, and culture
3. [LinkedIn](https://www.linkedin.com/company/physical-intelligence) – Company details, headcount, funding, and talent sources
4. [Built In](https://builtin.com/company/physical-intelligence) – Career page, employee count, and office policy
5. [jobs.ashbyhq.com/physicalintelligence](https://jobs.ashbyhq.com/physicalintelligence) – Current job openings

## Other roles at Physical Intelligence

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- [General Manager, Research Operations](https://feeny.ai/job/general-manager-research-operations-physical-intelligence-san-francisco-t2n6gysx5vvr) — San Francisco, CA
- [Recruiter, Hardware](https://feeny.ai/job/recruiter-hardware-physical-intelligence-san-francisco-4n292t91sd6v) — San Francisco, CA
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- [ML Engineer - API Platform](https://feeny.ai/job/ml-engineer-api-platform-physical-intelligence-san-francisco-9rgmerynps3m) — San Francisco, CA
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- [Mechatronics Intern](https://feeny.ai/job/mechatronics-intern-physical-intelligence-san-francisco-nz7d9xzh1v4y) — San Francisco, CA