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Posted 1 hour ago

Sr. Staff Engineer, AI Datacenter Thermal Management & Control Plane

@ Tenstorrent

Toronto, Ontario

12+ years experience
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SIGNALS

Requirements summary:

  • With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors.
  • We welcome candidates at various experience levels for this role.
  • You have a BS, MS, or PhD in Electrical, Mechanical, Computer, or Controls Engineering, or a related technical discipline, and 12+ years of relevant engineering experience.
  • You bring deep knowledge of liquid-cooling systems, including CDUs, coolant distribution networks, pumps, heat exchangers, valves, and facility cooling, as well as control theory, feedback…
  • Define and lead a scalable, hierarchical thermal control-plane architecture spanning servers, racks, rows, clusters, CDUs, facility cooling loops, chillers, cooling towers, and building…
  • Experience, skills, education, background and location all impact the actual offer made.

Tools & skills

Source and dates

Employer career site / ATS feed · greenhouse

Employer posting date
2026-11-12
First seen by our source
2026-11-12
Source record updated
2026-11-12

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Tenstorrent

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Build. Develop. Scale.

Full company description

Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, RISC-V technology, advanced systems, and neural network compilers. Tenstorrent is backed by Eclipse Ventures and Real Ventures, Archerman Capital, Samsung Catalyst Fund, and Hyundai Motor Group among others. Join us: www.tenstorrent.com/careers.

LinkedIn followers
56,330
People associated on LinkedIn
759
Reported office locations
  • Toronto, ON, CA
  • Austin, US
  • Santa Clara, California, US
  • Belgrade, RS
  • Bangalore, IN
Business categories
  • Electronics
  • Semiconductor
  • Artificial Intelligence
  • Application Specific Integrated Circuit (ASIC)
  • Hardware
  • Artificial Intelligence (AI)
  • Machine Learning
  • AI Infrastructure
Other recorded names
  • Tenstorrent
  • Tenstorrent University Jobs
  • Tenstorrent Unlisted/Referral Jobs
Specialties
  • Deep learning hardware
Profile identifies a recruitment agency
No
Reported total investment
1,027,549,999

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, RISC-V technology, advanced systems, and neural network compilers. Tenstorrent is backed by Eclipse…

FieldValue
IndustryComputer Hardware Manufacturing
Company size201-500 employees
HeadquartersToronto, ON
Organization typePrivately Held
Year founded2016
SpecialtiesDeep learning hardware
Open jobs on Jobsy42
LinkedInView page
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.

We are seeking a highly experienced Senior Staff / Principal Engineer to architect and deliver an intelligent thermal management control plane for next-generation AI datacenter infrastructure. As AI deployments scale to multi-100 kW racks and multi-megawatt clusters, this role will coordinate cooling across compute hardware, rack-level liquid cooling, Coolant Distribution Units (CDUs), and facility infrastructure. You will set the system architecture and lead implementation across hardware, firmware, software, mechanical engineering, and datacenter infrastructure teams.

This role ishybrid, based out of Santa Clara, California, Toronto, Canada or Austin, Texas.

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

  • You have a BS, MS, or PhD in Electrical, Mechanical, Computer, or Controls Engineering, or a related technical discipline, and 12+ years of relevant engineering experience.
  • You have architected and delivered complex distributed control systems, industrial automation, datacenter infrastructure, or thermal management systems, integrating multiple hardware, firmware, and software subsystems.
  • You bring deep knowledge of liquid-cooling systems, including CDUs, coolant distribution networks, pumps, heat exchangers, valves, and facility cooling, as well as control theory, feedback systems, PID control, system modeling, and dynamic thermal management.
  • You are experienced with industrial communication and management protocols such as Modbus, BACnet, OPC UA, MQTT, and Ethernet-based control networks, along with telemetry, real-time monitoring, and fault detection.
  • You can set technical direction, make architecture decisions, and lead complex cross-functional engineering programs from concept through integration and deployment.

What We Need

  • Define and lead a scalable, hierarchical thermal control-plane architecture spanning servers, racks, rows, clusters, CDUs, facility cooling loops, chillers, cooling towers, and building management systems; establish subsystem responsibilities, interfaces, APIs, protocols, and telemetry requirements.
  • Develop distributed, closed-loop control and optimization strategies that allocate cooling capacity and coordinate coolant temperatures, flow, pressure, pumps, valves, CDUs, and facility resources in response to workload demand and thermal conditions.
  • Integrate third-party CDUs and facility infrastructure, including technology cooling systems and facility water systems; establish operating envelopes, redundancy, failover, fault recovery, and coordination with BMS and industrial control systems.
  • Lead control software and systems engineering: define device-level interfaces and state machines, safety interlocks, fault isolation, cybersecurity, availability, monitoring, alerting, and predictive thermal management; partner with firmware and embedded teams on implementation.
  • Drive cross-functional system integration, validation, reliability testing, and production readiness, including thermal stability during workload changes and cooling or communications failures, and coordinate safe thermal protection or workload-throttling strategies with compute management systems.

What You Will Learn

  • How to establish the thermal control-plane foundation for increasingly dense AI infrastructure, from individual racks to multi-megawatt datacenter deployments.
  • How to bring compute, liquid cooling, facility systems, and workload-aware software together into a reliable, production-scale architecture.
  • How to shape next-generation approaches to thermal capacity management, predictive control, fault tolerance, and cooling-energy optimization.
  • How to influence technical roadmaps and integration strategies across engineering teams, equipment suppliers, datacenter operators, and infrastructure partners.
  • How to help define scalable thermal management practices for diverse cooling technologies, CDU vendors, and facility configurations, with potential applications of digital twins, thermal modeling, and model-predictive control.

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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