Tenstorrent

Physical Design Methodology Engineer, AI HW IP

Austin, Texas, United States; Belgrade, Serbia; Toronto, Ontario, Canada. Posted 3 months ago

The role

This role develops, deploys, and owns the RTL-to-GDSII methodology for the IP physical design team. You will build flows that enable new blocks, nodes, or customer variants to start from a working flow.

What you will do

  • Develop, deploy, and own the RTL-to-GDSII methodology
  • Build flows that production teams depend on daily
  • Remove manual steps and make PPA exploration repeatable
  • Build with AI as part of flow development
  • Partner with design teams and EDA vendors
  • Document flows so others can run them

Required qualifications

  • 5+ years developing and supporting physical design methodology or CAD flows in production use
  • Expertise with industry-standard tools (FusionCompiler/ICC2, Innovus/Genus, PrimeTime, RedHawk)
  • Expertise with scripting languages (Tcl, Python, Perl)
  • Deep understanding of advanced node methodology, low-power intent (UPF/CPF), clock tree synthesis, and signoff (EM/IR, DRC/LVS)
  • Experience standing up flows for new technology nodes, PDKs, or foundry targets ahead of program need
  • Experience qualifying new EDA releases

Benefits

  • Highly competitive compensation package and benefits

Before you apply

  • Offer is contingent upon being eligible to access U.S. export-controlled technology
  • Offer may be contingent upon citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency
  • Candidates will be assessed for the appropriate level during the interview process

About the company

Tenstorrent is leading the industry on cutting-edge AI technology. Their team has developed a high performance RISC-V CPU from scratch.

Physical Design Methodology Engineer, AI HW IP at Tenstorrent | JobZoey