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.

Our IP delivery timelines are set as much by flow maturity as by design work. This role develops, deploys, and owns the RTL-to-GDSII methodology the IP physical design team runs on, so a new block, node, or customer variant starts from a working flow instead of a cold start. A physical design or CAD methodology engineer who has built flows that production teams depend on daily.

Building with AI as part of how you develop flows, and opinionated about where LLMs and ML-driven optimization genuinely help versus where they do not. An effective partner to design teams and EDA vendors, and a transparent writer who documents flows well enough that others can run them without you. An Engineer with 5+ years developing and supporting physical design methodology or CAD flows in production use.





Expertise with industry-standard tools (FusionCompiler/ICC2, Innovus/Genus, PrimeTime, RedHawk) and scripting languages (Tcl, Python, Perl). Deep understanding of advanced node methodology, low-power intent (UPF/CPF), clock tree synthesis, and signoff (EM/IR, DRC/LVS). How to build and scale EDA automation for AI accelerators and high-performance CPUs on advanced FinFET/GAA nodes.

ML-driven flow optimization and custom CAD development at production scale. How to influence EDA vendor roadmaps through direct technical partnership. How multi-variant, multi-foundry IP delivery works, and how flow readiness moves customer commit dates.

S. export-controlled technology. S. export laws, including those codified in the U.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). 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.Commerce Department or applicable federal agency.

📌 Physical Design Methodology Engineer, AI HW IP (Toronto)
🏢 Tenstorrent
📍 Toronto