CPU/AI/SOC Physical Design Lead
About The Position
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. Tenstorrent's Physical Engineering group is looking for a Physical Design Engineer to Lead the 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.
Requirements
- 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.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
