Sr. Staff Technical Recruiter, Physical AI
About The Position
Aurora is seeking a Sr. Staff Technical Recruiter to lead recruiting for its most critical and hard-to-fill Physical AI searches across autonomy, machine learning, perception, simulation, AI infrastructure, and hardware engineering. This high-visibility role partners directly with VP- and Director-level engineering leaders to shape how Aurora competes for and hires leading AI and robotics talent. The recruiter will own full-cycle recruiting, primarily for Staff- to Principal-level roles; advise engineering leaders on market mapping, competitive intelligence, search design, engagement, and closing strategies; and build relationships throughout the Physical AI talent community, including frontier AI labs, robotics companies, and academic research groups. The role also sets talent strategy for the Physical AI market across Talent Acquisition, uses data and market insights to influence hiring decisions, advances AI-enabled recruiting practices, and mentors recruiters and sourcers. Aurora expects employees to work from the office at least three days per week, with some roles requiring up to five days based on operational needs. The position is available in San Francisco, Mountain View, Seattle, and Pittsburgh. The listed annual salary ranges are $179,000–$287,000 for San Francisco, Mountain View, and Seattle, and $162,000–$259,000 for Pittsburgh. The successful candidate is also eligible for an annual bonus, equity compensation, and benefits.
Requirements
- At least 8 years of technical recruiting experience, with deep specialization in autonomous vehicles, robotics, or AI/ML.
- Proven record of closing Staff- and Principal-level engineers and researchers in highly competitive talent markets.
- Experience serving as a trusted advisor to Director- and VP-level engineering leaders on hiring strategy.
- Ability to use data, market intelligence, and AI tools to shape and accelerate searches while producing quality results.
- Experience with an ATS/CRM such as Ashby and sourcing tools such as LinkedIn Recruiter, Gem, or SeekOut.
Nice To Haves
- Experience hiring from frontier AI labs or humanoid and general-purpose robotics companies.
- Experience building a recruiting function or talent strategy for a new technical domain.
- Experience recruiting research scientists, including academic and conference sourcing (e.g., NeurIPS, CVPR, ICLR).
- Experience mentoring recruiters and sourcers.
Responsibilities
- Own full-cycle recruiting for high-impact Physical AI searches, primarily at the Staff to Principal level, across autonomy, ML/robot learning, perception, simulation, controls, AI infrastructure, and hardware engineering.
- Advise VP- and Director-level engineering leaders on market mapping, competitive intelligence, search design, engagement strategies, and closing strategies.
- Build and maintain relationships across the Physical AI talent community, including frontier AI labs, robotics companies, and academic research groups.
- Set Physical AI talent strategy across Talent Acquisition, using data and market insights to influence hiring plans and decisions.
- Advance AI-enabled recruiting practices and mentor recruiters and sourcers on the team.
Benefits
- Annual bonus eligibility.
- Equity compensation eligibility.
- Benefits are offered; specific benefits are not listed.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
