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Semiconductors, Artificial Intelligence, Machine Learning

Staff Technical Program Manager, Data Center Deployment

Toronto, ONHybridFull TimeStaffPosted 1 month ago

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Required skills

  • Staff Technical Program Manager
  • Data Center Deployment
  • SRE
  • hardware
  • infrastructure
  • data center operations
  • technical dependencies
  • engineering workflows
  • automation
  • data-driven engineering operations

Nice to have

  • tooling initiatives
  • cross-functional owner
  • compilers
  • firmware

Role summary

We are seeking a Staff or Senior Staff Technical Program Manager to join our Data Center Deployment and SRE team. This role involves driving complex programs across hardware, software, infrastructure, and data center operations, connecting technical dependencies and engineering workflows to improve system deployment and scaling. The ideal candidate is a self-directed technical leader and systems thinker with a strong understanding of computer architecture and hands-on experience with data, tooling, and automation. Responsibilities include identifying dependencies, evaluating tradeoffs, driving execution, and translating technical information into executive-level reporting. This hybrid role is based in Toronto, Canada.

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 Staff or Senior Staff Technical Program Manager on the Data Center Deployment team, you will drive complex programs across AI hardware, software, infrastructure, and data center operations. You will work closely with engineering and operations teams to understand system-level dependencies, troubleshoot deployment and operational issues, and improve the reliability and scalability of our infrastructure. This role requires more than program coordination: you will use operational data, technical debugging, scripting, and automation to improve workflows, surface risks, and drive data-informed decisions across teams.

This role is hybrid, based out of Toronto, Canada.

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 technically hands-on program leader with direct experience in data center infrastructure, systems deployment, SRE, or infrastructure operations.
  • A systems thinker who can investigate technical issues, lead detailed debugging and triage, and understand dependencies across hardware, firmware, networking, operating systems, and software.
  • A data-driven problem solver who uses telemetry, monitoring, observability, metrics, and dashboards to identify issues, assess impact, and guide decisions.
  • A builder who has personally developed scripts, workflows, or automations to reduce manual work, improve operational efficiency, and increase visibility.
  • An AI-forward technical partner who actively uses AI tools to accelerate analysis, automation, and program execution while communicating technical risks and tradeoffs clearly.

    • What We Need

  • Bachelor’s degree or higher in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field, with 5+ years leading complex technical programs, infrastructure initiatives, or data-driven engineering operations.
  • Direct data center infrastructure or systems operations experience, including an understanding of deployment, hardware and software dependencies, capacity or resource allocation, reliability, and operational constraints at scale.
  • Strong technical troubleshooting skills, including driving detailed debugging, incident triage, and root cause analysis across interconnected hardware, firmware, networking, operating systems, and software systems.
  • Hands-on experience with observability and operational tooling, including telemetry, monitoring, logs, metrics, dashboards, and data pipelines, to investigate issues and track system health, performance, and reliability.
  • Demonstrated ability to personally build and maintain automation, scripts, or workflows using Python, SQL, APIs, shell scripting, or similar tools; regularly use AI-assisted tools to improve workflows, automate repetitive tasks, analyze data, and accelerate technical problem-solving; and translate findings into actionable plans and clear stakeholder reporting.

    • What You Will Learn

  • How Tenstorrent deploys, debugs, and operates complex AI hardware and software systems across large-scale data center environments.
  • How hardware, firmware, networking, operating systems, software, and infrastructure interact throughout the deployment and operational lifecycle of AI systems.
  • How to use operational telemetry, observability, and automation to improve infrastructure reliability, deployment efficiency, and resource utilization.
  • How to apply AI-enabled tooling and data-driven workflows to scale program execution and operational decision-making.
  • How to shape the tooling, processes, and operating model used to scale deployment and SRE programs across Tenstorrent.

    • 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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