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Salary
≈ $89k – $203k per year (Estimated)
Location
In office (San Francisco)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 3, 2026. First seen by Alion on Nov 17, 2025. Physical Intelligence scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Physical Intelligence is a San Francisco research company founded in 2024 that is building general-purpose foundation models for robots. Its flagship models are trained on data from many robot embodiments and tasks, aiming for a single policy that can be adapted to new hardware and chores. The company raised very large early rounds from investors including OpenAI, Jeff Bezos and Thrive Capital.

Role Overview

As a Forward Deployed Robotics Engineer, you'll serve as the first line of technical defense for our growing fleet of robotic systems deployed across warehouse and external data-collection environments. Our diverse robot fleet-including both static and mobile systems-performs complex manipulation and sensing tasks in real-world settings. When issues arise, you'll be the first responder: analyzing field tickets, reproducing issues, gathering diagnostic data, and driving resolution to ensure maximum fleet uptime.

Key Responsibilities

- Primary Robot Fleet Issue Technical Triage Point: Manage incoming fleet issue ticket queue, prioritize based on fleet-wide implications and operational goals, and triage as hardware, software, or operational issue.

- Fast-Paced Operations: Handle quick turnaround expectations while maintaining diagnostic quality

- On-Site Diagnostics: Perform physical inspections and functional tests at robot stations to verify issue reproduction

- Data Analysis: Analyze telemetry, sensor data, and logs to form and test hypotheses about root causes

- Failure Analysis: Execute technically sound Failure Analysis / Root Cause Analysis procedures

- Cross-Team Collaboration: Partner with hardware and software teams to reproduce and resolve complex issues

- Pattern Recognition: Identify recurring issues across the fleet and surface reliability insights for design improvements

- Documentation: Maintain clear, traceable documentation for every diagnostic and escalation event

- Metrics & Reporting: Track and report issue trends and fleet health metrics to leadership

- Process Improvement: Collaborate with team lead to develop and maintain diagnostic procedures and troubleshooting guides

Required Competencies & Skills

- Education: B.S. in Robotics, Mechatronics, Systems Engineering, or equivalent experience

- Hardware Knowledge: Proficiency debugging electromechanical systems including actuators, PCBs, cameras, wiring harnesses, and communication hardware

- Software Knowledge: Experience with log parsing and basic scripting for diagnostics (Python or Bash)

- Systems Knowledge: Strong understanding of mechanical, electrical, and software interactions in robotic systems

- Communication: Excellent written and verbal communication, particularly in technical documentation and shift handoffs

- Hands-On Problem Solving Experience: Minimum 2 years work experience with debugging and completing root cause investigations of systems with hardware and software issues

Strongly Preferred:

  • Experience supporting multi-robot fleets, warehouse automation systems, or field robotics deployments

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

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