Physical Design CPU Methodology Engineer
Tenstorrent is an AI-computing company that sells AI hardware and licenses AI and RISC-V intellectual property.
Funding history
Investors
About Tenstorrent
Tenstorrent builds computers for AI, including AI processors, scalable server systems, and open-source software and compiler tooling. It also licenses AI and RISC-V IP for customers building customized silicon.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will define and drive implementation methodology, automation, and signoff infrastructure for high-performance CPU cores. You will establish RTL-to-GDS flows, develop automation and quality controls, improve PPA and turnaround time, explore AI/ML-enabled physical-design tooling, and work across engineering disciplines to enable advanced-node implementation.
Requirements
- 10+ years of ASIC, SoC, or CPU experience
- Experience with high-performance CPUs or similarly complex digital designs
- Expertise in RTL-to-GDS implementation and signoff
- Knowledge of timing closure, power optimization, signal integrity, EM/IR, extraction, and physical verification
- Experience owning physical-design methodology, automation, or CAD flows
- Tcl, Python, Perl, or similar scripting skills
- Ability to influence teams, mentor engineers, and drive standards
Responsibilities
- Define and own 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 physical-design tooling
- Begin synthesis and place-and-route of CPU partitions
- Develop the new program RM flow
- Drive automation, constraints, quality metrics, signoff criteria, dashboards, checkers, and debug workflows
- Partner with architecture, RTL, circuit, DFT, CAD, program, data, and EDA vendor teams