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.
As a Tenstorrent DevOps Engineer, you will play a critical role in building and maintaining our robust and scalable development and hybrid cloud/on-prem testing infrastructure. You will work closely with cross-functional teams, including software engineers, system administrators, and QA, to ensure the availability, reliability, and performance of our development and testing environments. A significant part of your work is focused on our automation platform for our on premise colocation data centers.
This role is hybrid, based out of Austin, TX, Santa Clara, CA, 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:
- You are a seasoned professional who bridges the gap between cloud-based workflows and physical, on-premises data center environments.
- You are a code-first engineer who prioritizes building reusable automation scripts in Python, Go, or Bash over manual configuration.
- You possess a proactive mindset that focuses on identifying system bottlenecks and infrastructure vulnerabilities before they impact development.
- You are a collaborative team member who communicates effectively with cross-functional groups like software engineering and QA.
- You are an analytical troubleshooter capable of performing deep-dive root cause analysis on both software pipelines and hardware failures.
What We Need:
- You will design and implement comprehensive automation frameworks to accelerate software delivery and infrastructure management.
- You will manage and scale containerized workloads across hybrid environments using Docker and Kubernetes orchestration.
- You will build and maintain robust CI/CD pipelines within GitHub or GitLab to ensure seamless code deployment and testing.
- You will develop sophisticated monitoring and alerting systems using tools like Prometheus and Grafana to ensure high system availability.
- You will create and manage infrastructure-as-code templates using Terraform and Ansible to maintain consistent testing environments.
What You Will Learn:
- You will gain specialized experience in managing infrastructure specifically optimized for next-generation AI hardware and silicon development.
- You will master the complexities of automating high-performance colocation data centers at scale.
- You will advance your knowledge of secure Linux infrastructure by implementing industry-standard security best practices.
- You will deepen your understanding of low-level networking and hardware isolation within a high-stakes testing environment.
- You will refine your ability to integrate emerging DevOps tools and methodologies into a rapidly evolving hardware-centric startup.
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.
