Applied Researcher

Physical Intelligence
San Francisco
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Skills: ["Python","Robotics","AI","Infrastructure","Debugging"]

Deploy and debug learned policies on physical robots across perception, policy, control, and hardware; train and tune policies, curate data, and iterate to improve real-world performance; write production-quality code interfacing with infrastructure; collaborate with operators and partners to set up tests, evaluations, and data collection pipelines; translate research advances into deployable systems and shape long-term deployment visions.

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FursaFursa
Physical Intelligence
Physical Intelligence
7 months ago

Applied Researcher

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 minutes agoStatus: Live

Job Summary

Deploy and debug learned policies on physical robots across perception, policy, control, and hardware; train and tune policies, curate data, and iterate to improve real-world performance; write production-quality code interfacing with infrastructure; collaborate with operators and partners to set up tests, evaluations, and data collection pipelines; translate research advances into deployable systems and shape long-term deployment visions.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •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.

Key Requirements

  • •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
Experience:RoboticsAIAutonomy
Skills:PythonRoboticsAIInfrastructureDebugging
Tech Stack:PythonRoboticsAI

Company Brief

Physical Intelligence
Develops large-scale AI models and learning algorithms to enable general-purpose intelligence for robots and physically-actuated devices, aiming to power a wide range of real-world robotic tasks and applications.
Industry: Robotics
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2024
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn