Job Description
Physical Intelligence’s Deployments team is hiring an applied researcher to make its robot models solve real customer tasks. The role covers the whole stack: fitting into customer workflows, training models for dexterous tasks and keeping systems reliable on site. It is a full-stack robotics job for someone who has deployed robots or autonomous systems in the real world.
At a glance
- Team: Deployments
- Location: San Francisco, with on-site partner work
- Focus: Deploying and improving learned robot policies
- Apply: open until filled (re-checked 14 October 2026)
What you would do
- Deploy and debug learned policies on physical robots, diagnosing failures across perception, policy, control and hardware
- Train and tune policies, curate data and iterate on real-world performance
- Write production-quality code that works with Pi’s infrastructure
- Set up tests, evaluations and data-collection pipelines with robot operators
- Work with partners on use cases, and feed real-world failure modes back to research and engineering
Why this role matters
Many robot learning results look impressive in the lab but fail in real workplaces. Deployment teams are where models meet messy reality, and what they learn goes straight back into research. For someone who likes seeing robots do useful work, this is one of the most direct routes into robot foundation models at a leading company.
What Physical Intelligence is looking for
- Hands-on experience deploying robots or autonomous systems in real environments
- Strong engineering skills
- Experience training or fine-tuning learned policies
Nice to have
- Customer-facing or field deployment experience
Pay and location
Physical Intelligence does not list pay in this posting.
How to apply
Apply through the official Physical Intelligence job posting. Physical Intelligence’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 14 October 2026. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Physical Intelligence
Official advertisement: jobs.ashbyhq.com
How to prepare for this application
- Deployment stories: describe a robot you took from lab to real use, and what broke.
- Full-stack debugging: give an example of tracing a failure across perception, control and hardware.
- Data curation: show how you improved a policy by improving its data.
- Customers: any partner-facing work is relevant.
About Physical Intelligence
Physical Intelligence (Pi) is a San Francisco company building general-purpose foundation models and learning algorithms for robots, so that one model can control many kinds of machines and learn many tasks. Its team includes well-known researchers in robot learning.