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.
Tenstorrent’s AI Software Infrastructure team builds the platforms that power internal development, workload orchestration, and hardware allocation across large-scale AI systems. This role focuses on designing and operating Kubernetes-based platforms on on-prem data centers, enabling engineers and customers to run workloads efficiently on Tenstorrent hardware.
This role is hybrid based out of Santa Clara, CA; Austin, TX; or Toronto, ON.
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 backend or infrastructure engineer with a focus on platform development in large-scale environments.
Strong expertise in Kubernetes, including cluster provisioning, operators, and production debugging.
Proficient in Python or Go for building APIs and platform services.
Comfortable working with Linux systems, networking fundamentals, and distributed systems.
Collaborative and adaptable, able to work across engineering, infrastructure, and deployment teams.
What We Need
Design and build platform services for workload orchestration, ML services, and internal development workflows.
Develop APIs and systems that enable users and services to interact with infrastructure platforms.
Own Kubernetes-based platforms including cluster lifecycle, scaling, and operational maturity.
Integrate platform systems with CI/CD pipelines, GitOps workflows, and internal tooling.
Partner with SRE, infrastructure, and deployment teams to support large-scale internal and external environments.
What You Will Learn
How large-scale AI platforms are built and operated on custom accelerator hardware.
Advanced Kubernetes patterns including operators, controllers, and cluster lifecycle management.
How internal platforms evolve into production-grade systems used by customers.
How orchestration, APIs, and infrastructure come together to support AI workloads.
How platform engineering scales across on-prem and hybrid environments.
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.