Staff Engineer, Platform - Infrastructure

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 infrastructure team designs and builds the software platforms that power AI development, training, and deployment across our full stack. This role focuses on designing scalable services, architecting distributed systems, and building Kubernetes-based platforms that support a range of workloads from compiler toolchains to ML training pipelines. You’ll define how our software is deployed, scaled, and evolved to meet the needs of next-generation AI hardware.

This role is hybrid based out of Austin, TX; Toronto, ON; or Santa Clara, CA.

We welcome candidates at various experience levels. 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.

What You’ll Do

• Architect and implement distributed systems that run on Kubernetes, supporting software, compiler, and ML workloads.
• Design internal services, APIs, and automation frameworks that improve developer productivity and accelerate release cycles.
• Build platform capabilities for deploying, scaling, and monitoring microservices in hybrid and multi-cluster environments.
• Establish patterns for resilience, fault tolerance, and scalability across the software stack.

What You Bring

• Proven experience designing and delivering distributed systems on Kubernetes at scale.
• Strong skills in Python, Go, or Rust for building platform services and automation tooling.
• An understanding of microservice communication patterns, tracing, and performance debugging in production environments.
• A background in architecting CI/CD and deployment strategies for large, multi-team engineering organizations.

What You’ll Learn

• How to integrate compiler stacks, ML frameworks, and runtime services into a unified Kubernetes-based platform.
• New techniques for scaling AI workloads across clusters and geographies.
• How to design software platforms that balance performance, reliability, and developer efficiency.
• Our approach to delivering open, high-performance AI infrastructure that supports rapid iteration.

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.