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wafer.ai in San Francisco, CA is seeking a Head of Talent to own the full hiring lifecycle for a fast-moving AI infrastructure company.
You’ll design and scale recruiting systems, leverage AI tools for sourcing and screening, and hire senior engineers in GPU performance and developer tools while maintaining high standards.
A Head of Talent is normally expected to own the full hiring process, from finding candidates to closing them, and to build recruiting systems that hold up as a company grows. A strong candidate brings a record of hiring technical people in a fast moving field and the judgment to keep standards high while moving quickly. At an AI infrastructure company like wafer.ai, that means understanding the kind of engineers who work on GPU performance and developer tools.
AI tools now handle sourcing, screening and scheduling, so much of the routine work of recruiting can be automated. What stays human is judging people, selling a vision and building trust with candidates and hiring managers. The role shifts toward designing a hiring system that uses AI well while keeping the bar high.
This role offers a chance to use AI in sourcing, outreach and candidate tracking, and to see how a technical AI company actually hires. Experience with recruiting tools that use AI, or with hiring for AI and infrastructure teams, would help. Building that knowledge means learning how AI screening works and where it falls short.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
An AI inference provider that uses AI agents to tune GPU code, which it says lets open models run faster on AMD and Nvidia chips.