Who we are

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We’re searching for a Sr. Staff Technical Recruiter, Physical AI. You will lead recruiting for Aurora’s most critical and hard-to-fill Physical AI searches across autonomy, machine learning, perception, simulation, AI infrastructure, and hardware engineering. This is a high-visibility role where you will partner directly with VP- and Director-level engineering leaders to shape how Aurora competes for - and win - the strongest AI and robotics talent in the market.

In this role you will

Own full-cycle recruiting for Aurora’s highest-impact Physical AI searches, primarily at the Staff to Principal level, across autonomy, ML/robot learning, perception, simulation, controls, AI infrastructure, and hardware engineering

Serve as a strategic advisor to VP- and Director-level engineering leaders on market mapping, competitive intelligence, search design, engagement and closing strategies

Build and maintain deep relationships across the Physical AI talent community, including frontier AI labs, robotics companies, and academic research groups

Set the talent strategy for the Physical AI market across Talent Acquisition, using data and market insights to influence hiring plans and decisions

Raise the bar on AI-enabled recruiting practices and mentor recruiters and sourcers on the team

Required qualifications

8+ years of technical recruiting experience, with deep specialization in autonomous vehicles, robotics, or AI/ML

Proven track record of closing Staff and Principal-level engineers and researchers in highly competitive talent markets

Experience partnering as a trusted advisor to Director- and VP-level engineering leaders on hiring strategy

Demonstrated 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

Desirable qualifications

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

For roles based in San Francisco, CA, Mountain View, CA, and Seattle, WA: The salary range for this position is $179,000 - $287,000 per year.

For roles based in Pittsburgh, PA: The salary range for this position is $162,000 - $259,000 per year.

Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Working at Aurora

At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.

We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs.