Tenstorrent
Physical Design Methodology Engineer, AI HW IP
$100K–$500K
Austin, Texas, United States +5 · Full-time · Posted Aug 4, 2026
- Location
- Austin, Texas, United States
Belgrade, Serbia
Toronto, Ontario, Canada
Austin, Texas, United States
Belgrade, Serbia
Toronto, Ontario, Canada - Experience
- 5+ years; candidates at various experience levels are welcome and assessed for the appropriate level.
- Visa sponsorship
- Employment is contingent on eligibility to access U.S. export-controlled technology; depending on citizenship/permanent residency status, employment may require prior license approval from the U.S. Commerce Department or applicable federal agency.
About the job
Develops, deploys, and maintains production RTL-to-GDSII methodology flows for IP physical design, helping new blocks, technology nodes, and customer variants begin with qualified workflows.
What you'll do
- Build, deploy, and support physical design methodology and CAD flows used by production teams.
- Automate and improve repeatable PPA exploration; qualify new EDA releases and prepare flows for new nodes, PDKs, and foundry targets.
- Partner with design teams and EDA vendors, and document flows for team use.
What they ask for
- 5+ years developing and supporting physical design methodology or CAD flows in production use.
- Expertise with industry-standard physical design and signoff tools, and scripting languages.
- Deep understanding of advanced-node methodology, UPF/CPF low-power intent, clock tree synthesis, and EM/IR and DRC/LVS signoff.
- Experience establishing flows for new technology nodes, PDKs, or foundry targets and qualifying new EDA releases.
Pay
$100k - $500k (total pay, including base and variable compensation targets)
Tools
FusionCompiler/ICC2, Innovus/Genus, PrimeTime, RedHawk, Tcl, Python, Perl, UPF/CPF
AI focus
Builds flows with AI as part of development; the role also involves learning ML-driven flow optimization and custom CAD development at production scale.
Model-written summary · the original posting is authoritative