What We'd Like to See

Experience: 4+ years of full-cycle technical recruiting, with a strong track record closing hardware engineers (RTL, DV, physical design, chip architecture, compilers) and/or ML/AI research engineers.
Technical Fluency: Ability to have substantive conversations with candidates about their work — you know how to screen researchers and engineers.
Sourcing: Expert-level sourcing skills. You don't wait for inbound — you mine conference proceedings, GitHub, Google Scholar, LinkedIn, and niche communities to build pipelines for roles that most recruiters can't fill.
Community Presence: Willingness and ability to represent Architect at top-tier conferences (NeurIPS, DAC, ISSCC, Hot Chips, MICRO, ISCA) and research meetups. You build real relationships, not just collect badges.
Closing Ability: Proven experience closing candidates in competitive markets against FAANG, top AI labs, and well-funded startups. You understand equity, comp structuring, and how to sell a early-stage opportunity.
Startup DNA: You've recruited at an early-stage company before (or desperately want to). You're comfortable building processes from scratch, operating without an ATS on day one, and wearing multiple hats.

Bonus:

Previous recruiting experience in the semiconductor or AI industry.
Existing network in the chip design or ML research communities.
Experience recruiting for hardware-software co-design, compilers, or systems roles.
Background in technical roles before moving into recruiting.

MUST-HAVE QUALIFICATIONS