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AI and Robotics Recruiter

Physical Intelligence - San Francisco, California, United States

Posted Jun 5, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$81,650 U.S. median for this role
Projected growth (BLS Employment Projections)
+6.9% - Faster than average

Matched to SOC 13-1071 - Human Resources aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

AI and Robotics Recruiter San Francisco, California, United States 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. As a Full Stack Recruiter, you will help build the team that builds the robots - owning high-impact searches across research and engineering. This role is 100% in person. The Team The People team at Pi exists to recruit the world's best talent and provide them the tools and context to do their life's best work, removing all barriers, physical or digital, save the immense complexity of the problem at hand. The Recruiting team partners directly with founders and technical leaders to design roles, define talent strategy, and close exceptional candidates. We operate with a high bar, high transparency, and strong market awareness. In This Role You Will - Be an owner: recruiting is your profession, your specialty. Build it like you want it. Own full lifecycle recruiting for technical roles from building heatmaps for frontier lab talent to building relationships that allow you to close with full autonomy - Be a hunter: proactively identify and engage top-tier talent across ML research, robotics, systems, and infrastructure. Bring analytical rigor to your talent strategies. - Design interview processes: drive structured interviewer calibration while adapting evaluation to the specific talent market and role complexity. Be creative. There is no one-size-fits-all

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