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Tenstorrent

Datacenter Liquid Cooling Architect

Toronto, ON, Canada

Job type: Full-time
Apply by: Nov 1, 2026
Experience: A datacenter and system thermal design professional with 10+ years of experience architecting cooling infrastructure for complex computing environments.
Posting language: English
Posted: Oct 2, 2026

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Original job description

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.

As a Datacenter Liquid Cooling Architect, you will define, design, and architect next-generation liquid cooling infrastructure for Tenstorrent’s large-scale AI training and inference clusters. You will partner with systems engineering, mechanical engineering, software, and cross-functional design teams to develop chassis-, rack-, and cluster-scale cooling solutions, including CDU integration, telemetry and control, leak detection, and resilient operating strategies. This role will help shape reliable AI datacenter architectures and deployments for both internal and external customers.

This role is on-site, 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.

Who You Are

A datacenter and system thermal design professional with 10+ years of experience architecting cooling infrastructure for complex computing environments.
An experienced liquid cooling architect who can design chassis- and rack-scale solutions for large AI training and inference clusters.
A systems thinker who understands how mechanical, electrical, software, facility, and systems engineering decisions come together in mission-critical datacenter environments.
A hands-on problem solver with experience in fluid compatibility, pressure testing, leak detection, sensor integration, and cooling-system controls.
A collaborative technical leader who can work effectively with cross-functional teams and internal and external customers.

What We Need

Strong knowledge of ASHRAE thermal guidelines, liquid-cooled IT environments, facility HVAC integration, and industry best practices for datacenter cooling.
Proven 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 pressure-testing protocols, including proof testing, burst testing, and leak testing, as well as leak detection, mitigation, filtration, redundancy, and resilient cooling architectures.
Practical experience integrating flow, temperature, and pressure sensors with monitoring and control systems, including defining operational rules and failure-response procedures for commercial CDUs. Experience with pumped two-phase liquid cooling is a plus.

What You Will Learn

Hands-on exposure to architecting next-generation liquid cooling infrastructure for Tenstorrent’s AI training and inference systems at chassis, rack, and cluster scale.
A deeper understanding of how commercial coolant distribution units are integrated, monitored, and controlled within high-performance AI datacenter deployments.
The opportunity to establish safe operating rules, telemetry requirements, leak-response strategies, and resilient failure modes for mission-critical cooling systems.
Experience shaping end-to-end AI cluster architectures and deployment solutions for both internal and external customers.
The ability to influence future datacenter thermal systems through close partnership with systems engineering, mechanical engineering, software, and other cross-functional teams.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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More about this job

Responsibilities

Architect and design liquid cooling infrastructure for AI training and inference clusters at chassis, rack, and cluster scale, including CDU integration, telemetry, controls, leak detection, and resilient operating strategies. Collaborate with engineering teams and customers to shape reliable datacenter architectures and deployment solutions.

Requirements

Requires 10+ years of experience architecting datacenter and system thermal cooling infrastructure, with expertise in liquid-cooled environments and single-phase cooling systems. Candidates should have practical knowledge of fluid and material compatibility, pressure and leak testing, sensor integration, cooling controls, facility HVAC integration, and resilient system design.

Skills

Datacenter Cooling Architecture
Liquid Cooling Systems
Thermal Design
Single-Phase Cooling
Pumped Two-Phase Cooling
Fluid Selection and Compatibility
Pressure Testing
Leak Detection and Mitigation
Cooling System Controls
Sensor Integration
Telemetry and Monitoring
Commercial CDU Integration
Facility HVAC Integration
ASHRAE Thermal Guidelines
Resilient Cooling Architectures
Cross-Functional Collaboration

Visa sponsorship

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Keywords

AI Training Clusters
AI Inference Clusters
Datacenter Thermal Design
Liquid Cooling Infrastructure
Chassis-Scale Cooling
Rack-Scale Cooling
Cluster-Scale Cooling
Coolant Distribution Units
Single-Phase Liquid Cooling
Pumped Two-Phase Cooling
Glycol-Water Mixtures
Dielectric Fluids
Corrosion Inhibitors
Material Compatibility
Dry-Break Couplings
Proof Testing
Burst Testing
Leak Testing
Filtration
Cooling Redundancy
Flow Sensors
Temperature Sensors
Pressure Sensors
Telemetry
Cooling-System Controls
Failure-Response Procedures
ASHRAE Thermal Guidelines
Facility HVAC Integration
RISC-V
AI Datacenter Deployments

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