Primary record

Staff Software Engineer, Cloud Infrastructure

Tenstorrent Indexed employerSanta Clara, California, United States · Austin, Texas, United States · Toronto, Ontario, Canada
Source-hosted applyChecked 3h agoOther
Apply at Tenstorrent

Tenstorrent receives this application through Greenhouse. Babu Careers does not claim delivery.

Workplace

hybrid

Employment

Other

Published

Aug 11, 2026

Closes

No date supplied

The 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.

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 produc

Requirements

Department: AI SW: Cloud Platform