Drimva

Aurora Innovation

Sr. Staff Technical Recruiter, Physical AI

$162K–$287K

Mountain View, CA +2 · Hybrid · Senior Staff · Full-time · Posted Oct 29, 2026

Location
Mountain View, CA
San Francisco, CA
Pittsburgh, PA
Experience
8+ years of technical recruiting experience.

About the job

Leads full-cycle recruiting and talent strategy for Aurora’s senior Physical AI searches, partnering with engineering leaders to attract and close specialized technical talent.

What you'll do

  • Own Staff-to-Principal-level recruiting across autonomy, ML/robot learning, perception, simulation, controls, AI infrastructure, and hardware engineering.
  • Advise VP- and Director-level leaders on market mapping, search design, hiring strategy, and candidate engagement and closing.
  • Develop Physical AI talent strategy, strengthen AI-enabled recruiting, and mentor recruiters and sourcers.

What they ask for

  • 8+ years of technical recruiting experience, specializing in autonomous vehicles, robotics, or AI/ML.
  • Proven record of closing Staff- and Principal-level engineers and researchers in competitive talent markets.
  • Experience advising Director- and VP-level engineering leaders on hiring strategy and using data, market intelligence, and AI tools to accelerate searches.
  • Experience with an ATS/CRM such as Ashby and sourcing tools such as LinkedIn Recruiter, Gem, or SeekOut.

Nice to have

  • Experience hiring from frontier AI labs or humanoid and general-purpose robotics companies, or building recruiting strategy for a new technical domain.
  • Experience recruiting research scientists through academic and conference sourcing (e.g., NeurIPS, CVPR, ICLR) and mentoring recruiters or sourcers.

Pay

$179,000 - $287,000 per year (base salary); $162,000 - $259,000 per year (base salary)

Tools

Ashby, LinkedIn Recruiter, Gem, SeekOut

AI focus

Recruit for Physical AI roles across autonomy, machine learning and robot learning, perception, simulation, controls, AI infrastructure, and hardware engineering; use AI tools to shape and accelerate searches and improve recruiting practices.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)