Datacenter Liquid Cooling Architect

Tenstorrent
124d$100,000 - $500,000

About The Position

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, we’re building the future of AI compute — and keeping that future cool requires innovation at scale. We’re looking for an engineer who thrives on solving complex infrastructure challenges to design and deliver the next generation of liquid cooling systems for large AI clusters. In this role, you’ll work closely with cross-functional teams, create resilient and reliable cooling strategies, and help shape datacenter infrastructure that powers breakthrough AI workloads. This role is hybrid, based out of Toronto, Canada, Austin, Texas OR Santa Clara, California. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Requirements

  • Background in datacenter thermal design.
  • Experience working directly with cooling systems.
  • Comfortable with fluids, pressure testing, and leak detection.
  • Familiar with monitoring and control systems and their integration with facility HVAC infrastructure.
  • Experience with single-phase liquid cooling; bonus if experienced with two-phase.

Nice To Haves

  • Degree in Electrical or Computer Engineering.

Responsibilities

  • Architect and implement liquid cooling infrastructure for AI training and inference clusters.
  • Define operational standards, safety protocols, and CDU control strategies that maintain uptime.
  • Collaborate with mechanical, software, and system engineering teams to deliver advanced cooling solutions.
  • Design leak detection methods and monitoring systems that safeguard mission-critical environments.
  • Support AI cluster deployments for internal and external customers.

Benefits

  • Highly competitive compensation package.
  • Equal opportunity employer.
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