Sr. Staff Technical Recruiter (Physical AI)

Location: Mountain View, CA; San Francisco, CA; Pittsburgh, PA; or Seattle, WA, with at least 3 days per week in the office. The posting also lists the workplace type as remote, but the company-wide policy expects regular in-person work.

Salary: $179,000–$287,000 per year for San Francisco, Mountain View, and Seattle roles; $162,000–$259,000 per year for Pittsburgh roles. Annual bonus, equity compensation, and benefits are also available.

Company

hirify.global develops self-driving technology and transportation solutions for safer, more efficient, and more accessible mobility and logistics.

What you will do

• Own full-cycle recruiting for high-impact Physical AI searches, primarily at Staff and Principal levels, across autonomy, machine learning, robot learning, perception, simulation, controls, AI infrastructure, and hardware engineering.
• Advise VP- and Director-level engineering leaders on market mapping, competitive intelligence, search design, candidate engagement, and closing strategies.
• Build relationships across Physical AI talent communities, 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.
• Improve AI-enabled recruiting practices and mentor recruiters and sourcers.

Requirements

• 8+ years of technical recruiting experience with deep specialization in autonomous vehicles, robotics, or AI/ML.
• Proven success closing Staff- and Principal-level engineers and researchers in highly competitive talent 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 with quality output.
• 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.
• Experience building a recruiting function or talent strategy for a new technical domain.
• Experience recruiting research scientists through academic and conference sourcing, including NeurIPS, CVPR, or ICLR.
• Experience mentoring recruiters and sourcers.

Culture & Benefits

• Work alongside experienced specialists on complex self-driving and mobility problems.
• In-person collaboration is emphasized, with employees generally expected to work from the office at least 3 days per week and some roles requiring up to 5 days.
• Compensation includes base salary, annual bonus, equity compensation, and benefits.
• Safety, integrity, ambitious goals, collaboration, inclusion, and reasonable accommodations are core company commitments.