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.

Tenstorrent is building next-generation CPU and AI silicon, supported by the infrastructure needed to develop, validate, and deploy advanced AI compute systems. As a Site Reliability Engineer / Infrastructure Operations Engineer, you will help maintain the health and reliability of our infrastructure by monitoring systems, investigating alerts, coordinating incident resolution, and improving operational processes. You will work across Linux systems, servers, compute clusters, and supporting infrastructure, partnering with engineering teams to identify issues, resolve failures, and prevent recurring problems.

This role is focused on infrastructure reliability and operational execution, with opportunities to improve monitoring, automation, troubleshooting, and recovery practices as our infrastructure scales.

This role is remote, based out of North America.

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

Experienced in SRE, infrastructure operations, systems administration, production support, or a related technical operations role.
Comfortable working with Linux systems and server infrastructure, with strong troubleshooting skills and a methodical approach to investigating unfamiliar issues.
Familiar with monitoring, alerting, dashboards, and system health metrics, with the ability to distinguish actionable incidents from routine fluctuations.
Organized and detail-oriented, with experience maintaining technical documentation, operational procedures, and troubleshooting runbooks.
A clear communicator and collaborative problem-solver who takes ownership of issues, follows through on escalations, and looks for ways to improve reliability.

What We Need

Monitor the availability, performance, and capacity of infrastructure across servers, compute clusters, and supporting systems, investigating alerts and anomalies as they arise.
Triage incidents by assessing severity and impact, gathering diagnostic information, escalating issues to the appropriate engineering teams, and tracking them through resolution.
Develop, maintain, and execute operational runbooks for troubleshooting, incident response, system recovery, and routine maintenance.
Improve monitoring, dashboards, and alerting to increase infrastructure visibility, reduce alert noise, and enable earlier detection of potential failures.
Analyze recurring incidents and operational gaps, collaborating with infrastructure and engineering teams to identify root causes, improve recovery procedures, and prevent repeat issues.

What You Will Learn

Gain hands-on experience supporting the infrastructure behind next-generation AI compute platforms, including servers, compute clusters, and large-scale systems.
Deepen your understanding of Linux, hardware management, networking, storage, and the interactions between hardware and software in production environments.
Build expertise in monitoring and observability tools, incident management, root-cause analysis, and infrastructure reliability practices.
Develop practical skills in scripting and automation using tools such as Python, Bash, and Ansible to streamline troubleshooting and routine operations.
Collaborate with infrastructure and engineering teams to improve operational maturity, strengthen incident response, and build more reliable and scalable AI compute infrastructure.