Staff Software Engineer, Cloud Infrastructure

tenstorrent

Santa Clara, California, United States · Santa Clara · United States

Posted Jan 14, 2026

Other
Hybrid
AI SW: Cloud Platform

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.

We’re looking for a hands-on Staff Software Engineer with a platform infrastructure / Site Reliability Engineering (SRE) background to help build and operate the systems behind Tenstorrent’s AI cloud. This team develops and runs both on-prem and public cloud infrastructure and services that support high-performance AI workloads. The role spans backend development, service integrations, infrastructure-as-code, CI/CD, and reliability engineering, with room to go deeper in a specialty while working across the stack.

This role is hybrid, based out of Austin, TX; Santa Clara, CA; 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

Strong software engineer with a track record of designing and delivering complex production services and applications.
Fluent in Python, with Go and/or TypeScript as a plus.
Experienced with Kubernetes and comfortable working across bare metal, virtual machines, and modern cloud infrastructure; AWS experience is a plus.
Familiar with observability and production operations across hardware, system, and application layers, including monitoring, alerting, and telemetry.
Bonus points for depth in network automation, storage platforms, and/or cloud or application security.

What We Need

Build and improve backend services and platform integrations that power Tenstorrent’s on-prem and public AI cloud environments.
Raise the bar on infrastructure automation through CI/CD and Infrastructure-as-Code practices using tools such as Ansible and Terraform.
Strengthen platform reliability with better observability, monitoring, alerting, and operational response across the stack.
Partner effectively with end-users, peers, and domain experts to turn complex infrastructure needs into dependable systems.
Bring technical leadership, strong engineering judgment, and a mindset of continuous learning that helps the team scale its capabilities.

What You Will Learn

How AI cloud infrastructure comes together end-to-end, from data center hardware and fleet operations to user-facing services and interfaces.
What it takes to run reliable, high-performance AI workloads across both on-prem and public cloud environments.
How hardware, software, networking, storage, and operations intersect inside a real-world AI platform.
How to expand into adjacent parts of the stack without getting boxed into a narrow silo.
How to apply the latest AI tools in day-to-day engineering work while building practical systems that matter.

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.