Technical Recruiter

Thinking Machines Lab•San Francisco, CA

3d•$200,000 - $275,000•Onsite

About The Position

Thinking Machines is hiring a Technical Recruiter to lead full-cycle recruiting for the infrastructure teams building and operating the systems behind frontier model training and the Tinker platform. The role focuses on areas including cluster and network engineering, distributed systems, and site reliability. The recruiter will partner closely with infrastructure leaders and engineers to understand specialized hiring needs, develop sourcing strategies, calibrate interview loops, and close top candidates in a competitive market. This is a high-ownership role in a company where infrastructure is foundational. The recruiter is expected to understand distributed training, networking, and cluster orchestration deeply enough to evaluate technical signal and speak credibly with engineers. Responsibilities include sourcing, screening, interview coordination, and closing; partnering with hiring managers and technical leaders on role scoping and interview design; building proactive sourcing campaigns; advising candidates through the offer and closing process; monitoring pipeline health and hiring metrics; and developing recruiting playbooks, tools, and processes as the infrastructure organization grows. The position is based in San Francisco, California, or New York, New York. The expected annual salary range is $200,000–$275,000 USD, depending on background, skills, and experience. Visa sponsorship is available, though success is not guaranteed for every candidate or role.

Requirements

At least 4 years of full-cycle technical recruiting experience, with a track record of hiring for infrastructure, platform, or systems engineering roles.
Ability to hold substantive technical conversations about infrastructure domains such as distributed systems, cluster or cloud networking, container orchestration, and systems languages.
Experience partnering directly with hiring managers on intake, talent-bar calibration, and interview loop design.
Sound independent judgment about candidate quality and ability to manage multiple concurrent searches with minimal oversight.

Nice To Haves

Experience recruiting at a high-growth AI, machine learning, or infrastructure-focused technology company.
Proficiency with an applicant tracking system such as Greenhouse or Ashby and modern sourcing tools.
Experience building sourcing strategy or recruiting processes from scratch at an early-stage or fast-scaling team.
Genuine interest in Thinking Machines' mission and in the role a world-class infrastructure team plays in achieving it.

Responsibilities

Own full-cycle recruiting—including sourcing, screening, interview coordination, and closing—for infrastructure, systems, and networking roles.
Partner directly with hiring managers and technical leaders on role scoping and interview loop design.
Build and run proactive sourcing strategies and outbound campaigns to reach passive, specialized infrastructure talent.
Develop subject-matter expertise in distributed training, cluster networking, Kubernetes and container orchestration, and systems programming languages to assess candidates and discuss the team's work in depth.
Calibrate the talent bar with engineering leaders and help interviewers provide clear, well-supported feedback.
Manage a high-touch candidate experience and advise candidates through offer and closing.
Track pipeline health and hiring metrics and use the data to improve the hiring process.
Help build recruiting playbooks, tools, and processes to support the growth of the infrastructure organization.