Datacenter Liquid Cooling Architect
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- A datacenter and system thermal design professional with 10+ years of experience architecting cooling infrastructure for complex computing environments.
- Posting language
- English
- Posted
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
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.
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.
- 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.
- 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.
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.
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
Not detected in the job text
Categories
- Engineering
- Technology
- Manufacturing
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