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.