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Описание вакансии
Текст:
TL;DR
Datacenter Liquid Cooling Architect (AI): Architecting next-generation liquid cooling infrastructure for large-scale AI training and inference clusters with an accent on chassis-, rack-, and cluster-scale systems, CDU integration, telemetry, and leak detection. Focus on designing resilient cooling architectures, defining failure-response strategies, integrating sensors and controls, and solving fluid compatibility and pressure-testing challenges.
Location: On-site in Toronto, Canada; Austin, Texas; or Santa Clara, California
Company
Tenstorrent develops high-performance AI platforms combining software models, compilers, networking, RISC-V CPUs, and semiconductor technologies.
What you will do
- Define and architect liquid cooling infrastructure for large-scale AI training and inference clusters.
- Design cooling solutions at chassis, rack, and cluster scale, including commercial coolant distribution unit integration.
- Partner with systems engineering, mechanical engineering, software, and cross-functional design teams.
- Develop telemetry, control, leak detection, mitigation, and resilient operating strategies.
- Shape reliable AI datacenter architectures and deployment solutions for internal and external customers.
Requirements
- 10+ years of experience architecting cooling infrastructure for complex computing environments.
- Professional experience in datacenter and system thermal design, including chassis- and rack-scale liquid cooling for AI clusters.
- Strong knowledge of ASHRAE thermal guidelines, liquid-cooled IT environments, facility HVAC integration, and datacenter cooling practices.
- Experience designing and operating single-phase liquid cooling systems, including fluid selection, glycol-water mixtures, dielectric fluids, corrosion inhibitors, material compatibility, and dry-break couplings.
- Expertise in proof, burst, and leak testing; leak detection and mitigation; filtration; redundancy; and resilient cooling architectures.
- Experience integrating flow, temperature, and pressure sensors with monitoring and control systems and defining operational and failure-response procedures for commercial CDUs.
Nice to have
- Experience with pumped two-phase liquid cooling.
Culture & Benefits
- Collaborative environment spanning systems, mechanical, software, and other engineering disciplines.
- Opportunity to work on next-generation cooling infrastructure for AI training and inference systems.
- Exposure to commercial CDU integration, telemetry, control, leak-response strategies, and resilient failure modes.
- Competitive compensation package and benefits.
- Employment is subject to eligibility to access U.S. export-controlled technology.
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