Drimva

Aurora

Sr. Staff Technical Recruiter, Physical AI

$162K–$287K

Mountain View, CA +2 · Remote · 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 engineering and research searches, partnering with engineering leaders to attract and close highly competitive candidates.

What you'll do

  • Own full-cycle recruiting for Staff-to-Principal Physical AI searches across autonomy, ML/robot learning, perception, simulation, controls, AI infrastructure, and hardware engineering.
  • Advise VP- and Director-level engineering leaders on market mapping, search design, hiring plans, and candidate engagement and closing strategies.
  • Develop Physical AI talent strategy, use data and market insights, improve 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 highly competitive markets.
  • Experience advising Director- and VP-level engineering leaders on hiring strategy.
  • Ability to use data, market intelligence, and AI tools to shape and 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 a recruiting function or talent strategy for a new technical domain.
  • Experience recruiting research scientists through academic and conference sourcing (e.g., NeurIPS, CVPR, ICLR), or mentoring recruiters and sourcers.

Pay

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

Tools

Ashby, LinkedIn Recruiter, Gem, SeekOut, NeurIPS, CVPR, ICLR

AI focus

Recruiting for Physical AI talent across autonomy, machine learning/robot learning, perception, simulation, controls, AI infrastructure, and hardware engineering; use AI tools and improve AI-enabled recruiting practices.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 5, 2026 (UTC)