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Physical Design Methodology Engineer, AI HW IP

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

In inglese

Company

Tenstorrent

Location

Austin, Texas, United States; Belgrade, Serbia; Toronto, Ontario, Canada

Status

Open

Posted

2026-08-04T22:08:03+00:00

Tenstorrent wants an engineer to build and own the RTL-to-GDSII methodology its IP physical design team runs on, so new blocks, nodes and customer variants start from a working flow. The work covers EDA automation, repeatable PPA exploration, and applying LLMs and ML-driven optimization where they help. The posting asks for 5+ years in physical design methodology or CAD flows, hands-on use of FusionCompiler/ICC2, Innovus/Genus, PrimeTime and RedHawk, Tcl, Python and Perl, plus advanced-node, UPF/CPF, CTS and signoff experience. Hybrid in Toronto, Austin or Belgrade; pay listed at $100k–$500k.