Physical Design CPU Methodology Engineer
Job Location:
Santa Clara County, CA - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
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.
- You are an experienced Physical Design Engineer with 10 years of ASIC/SoC/CPU experience ideally focused on high-performance CPUs or similarly complex digital designs.
- You bring deep expertise across RTL-to-GDS implementation and signoff including timing closure power optimization SI EM/IR extraction and physical verification.
- You have built or owned physical design methodology automation or CAD flows and are highly skilled in Tcl Python Perl or similar scripting languages.
- You are a technical leader who can influence across teams mentor engineers and drive standards across geographically distributed organizations.
- Define and own scalable CPU physical design methodology spanning synthesis floorplanning power planning place and route CTS extraction STA SI EM/IR and physical verification.
- Explore AI/ML-enabled PD tooling begin synthesis and PnR of CPU partitions and start developing the new program RM flow.
- Drive automation constraints quality metrics signoff criteria dashboards checkers and debug workflows that improve predictability turnaround time and PPA.
- Partner with architecture RTL circuit DFT CAD program data and EDA vendor teams to enable advanced nodes and productize AI/ML across physical design.
- How to apply AI/ML to physical design for hotspot prediction congestion forecasting timing-risk classification ECO prioritization IR-drop screening and flow tuning.
- How to build reliable explainable production-ready data infrastructure including feature collection validation and signoff integration.
- How to evaluate AI-enabled EDA capabilities and determine where data-driven optimization delivers measurable value over conventional heuristics.
- How to scale CPU methodology automation and AI/ML deployment across advanced-node programs foundries teams and the broader organization.
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.
Required Experience:
IC
About Company
Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of compu ... View more
