Tenstorrent

Lead physical design of CPUs and AI/ML chips from synthesis through tapeout, managing backend execution and collaborating with architecture and frontend teams. | Experienced physical design engineer with hands-on expertise in SoC/CPU/GPU/AI chip implementations, backend execution, timing closure, and physical implementation tools. | 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. Lead the physical design of cutting-edge CPUs and AI/ML chips from synthesis through tapeout. In this role, you’ll own high-performance IP implementation and work closely with front-end, architecture, and backend teams to push power, performance, and area boundaries. This role is hybrid, based out of Santa Clara, CA; Austin, TX; or Fort Collins, CO. 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. Who You Are • An experienced physical design engineer with a background in SoC, CPU, GPU, or AI/ML implementations. • Confident managing backend execution from RTL handoff through signoff and tapeout. • Skilled in timing closure, floorplanning, and physical implementation techniques. • Comfortable writing scripts and debugging across design hierarchies. What We Need • Engineers with hands-on experience using Innovus, Primetime, RedHawk, and similar tools. • Deep understanding of PnR, timing analysis, area and power optimization, and ECO closure. • Ability to define physical design requirements and partner effectively with RTL and architecture teams. • Familiarity with low-power techniques and experience working at advanced technology nodes. What You Will Learn • The end-to-end physical implementation process for next-generation AI and CPU architectures. • How to run and evaluate experiments across RTL, synthesis, and layout to optimize for PPA. • How expert teams collaborate across RTL, verification, DFT, and software to deliver high-impact silicon. • Best practices for automating flows and solving challenges at deep sub-micron nodes. 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. Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government. Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process. If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.

Drive product strategy and roadmaps for CPU, system, and AI software, collaborate with engineering and architecture teams, engage with developer communities, and support go-to-market strategies. | Deep experience in low-level system or AI software product management, technical fluency in CPU architectures and toolchains, strong communication and collaboration skills, and familiarity with open-source ecosystems and semiconductor market dynamics. | 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're looking for a seasoned product leader to drive the strategy and success of software products tied to CPU and AI IP, spanning architectures like RISC-V, Arm, and x86. This role blends product vision, technical depth, and cross-functional collaboration to shape a world-class software ecosystem—one that helps customers get the most out of our IP offerings. This role is hybrid, based out of Santa Clara, CA or Austin, TX. 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 • Deeply experienced in software product management, especially in low-level, system, or AI software. • Technically fluent in CPU architectures and hands-on with toolchains, firmware, and AI/ML frameworks. • A strong communicator and collaborator, comfortable translating between engineers, execs, and customers. • Familiar with open-source ecosystems, software licensing, and semiconductor/IP market dynamics. What We Need • Drive product strategy and roadmaps for CPU, system, and AI software that tightly align with IP goals. • Partner with engineering and architecture teams to define, develop, and deliver best-in-class software. • Engage with developer and partner communities (e.g., LLVM, TensorFlow, Linux distros) to grow adoption. • Collaborate across marketing, sales, and BD to craft go-to-market strategies and technical positioning. What You Will Learn • How to shape an integrated hardware-software story in a fast-evolving compute and AI landscape. • Ways to influence open-source and industry ecosystems through product leadership. • How world-class software experiences accelerate IP adoption across verticals like automotive, edge, and HPC. • What it takes to launch and scale high-performance, developer-centric tools in a competitive space. 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. Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government. Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process. If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.