Similar Jobs
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 are looking for a Staff DevOps Engineer to help define, build, and optimize the infrastructure and development tools that are critical to developing our chips. This role is ideal for engineers who thrive at the intersection of IT, EDA flows, and automation.
This role is hybrid, based out of Toronto, Ottawa, Boston, or Austin.
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.
- A Linux expert passionate about automation and process optimization.
- Skilled in scripting (Python, Tcl, Bash) and CI/CD (Jenkins, GitLab CI/CD).
- Experience in any EDA simulator, including VCS, Xcelium, Questasim, Verilator is desirable
- Skilled in System Verilog, Cocotb, SystemC is a bonus
- Curious about EDA tools and infrastructure (LSF, Modules, SQL, FlexLM).
- Engineers to automate and optimize our chip development infrastructure.
- Builders of robust CI/CD pipelines for the full VLSI design flow.
- Experts to identify and eliminate design bottlenecks across the lifecycle.
- Innovators eager to apply AI/ML for workflow enhancement.
- Architects to scale and manage HPC and cloud-integrated resources.
- How to build and scale cutting-edge EDA environments.
- Strategies for hybrid cloud management in HPC contexts.
- DevOps leadership and best practice implementation.
- Modern software techniques applied to hardware development.
- Methodology design for the next generation of chip workflows.
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.
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
