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.
- A Linux expert passionate about automation and optimizing complex, performance-critical workflows
- Skilled in scripting (Python, Tcl, Bash) and building CI/CD pipelines (Jenkins, GitLab CI/CD) for large-scale hardware regression and verification.
- Proficient with Infrastructure as Code tools like Terraform and Ansible to manage a hybrid compute environment.
- Experienced with Docker and Kubernetes for creating reproducible and scalable engineering environments for the Tensix team.
- Familiar with, or eager to master, the EDA compute fabric, including job schedulers (LSF), environment management (Modules), and license managers (FlexLM).
- Someone who can automate and improve the Tensix core development infrastructure, from RTL design through physical implementation.
- Build CI/CD pipelines capable of handling millions of daily simulations for the full verification flow.
- A partner to work directly with Tensix engineers to identify and remove bottlenecks in design and verification loops.
- Apply data analytics and leverage LLMs/RAGs to design smarter workflows that accelerate both software and hardware development.
- Expertise to scale and manage a hybrid HPC grid, balancing on-prem LSF clusters with cloud resources to power massive simulation workloads.
- How to build and scale a state-of-the-art EDA environment for a revolutionary AI accelerator core.
- Practical techniques for hybrid cloud management tailored to the bursty compute demands of semiconductor verification.
- How to implement DevOps best practices within one of the industry's most advanced hardware teams.
- Ways to apply modern AI techniques, including LLMs and RAGs, to reshape workflows in both software and hardware design.
- The methods and workflows driving the next generation of Tenstorrent’s AI cores.
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.
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