Site Reliability Engineer, Metal
About this role
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 large-scale AI systems across internal clusters and customer deployments. This role sits at the intersection of site reliability, infrastructure operations, and customer engineering, ensuring our systems are reliable, observable, and production-ready.
This role is hybrid, based out of Toronto, ON; Austin, TX; or Santa Clara, CA.
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 site reliability, infrastructure, or systems engineering in distributed environments.
- Strong Linux systems knowledge with the ability to troubleshoot complex multi-layer issues.
- Proficient with observability tools such as Prometheus, Grafana, and alerting systems.
- Comfortable with scripting and automation using Python, Go, or similar languages.
- Solid understanding of networking fundamentals and how systems behave at scale.
What We Need
- Ensure reliability and operational health of Tenstorrent systems across internal and customer environments.
- Troubleshoot complex issues across compute, networking, and software layers.
- Partner with engineering teams and customers to resolve production incidents.
- Design and improve monitoring, observability, and alerting systems.
- Build automation to reduce operational toil and improve system reliability.
What You Will Learn
- How large-scale AI infrastructure is operated across internal clusters and customer deployments.
- How distributed systems behave under real-world production conditions.
- How observability and automation drive reliability at scale.
- How hardware, networking, and software systems interact in AI environments.
- How customer-facing AI infrastructure is deployed, supported, and optimized.
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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