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.
