# Physical Design Methodology Engineer, AI HW IP at TensTorrent

- Company: TensTorrent
- What the company does: Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together...
- Company website: https://tenstorrent.com
- Type: Startups (AI role)
- Level: Mid level
- Location: Austin, Texas, United States; Belgrade, Serbia; Toronto, Ontario, Canada
- Work setup: On-site
- Pay: $100K to $500K base salary per year (USD)
- Posted: 2026-08-04
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/tenstorrent/jobs/5198608007
- Page: https://www.1752.vc/careers/jobs/tenstorrent-physical-design-methodology-engineer-ai-hw-ip/

## About the role

Our IP delivery timelines are set as much by flow maturity as by design work. This role develops, deploys, and owns the RTL-to-GDSII methodology the IP physical design team runs on, so a new block, node, or customer variant starts from a working flow instead of a cold start. This role is hybrid, based out of Toronto, ON; Austin, TX, or Belgrade, Serbia.

## What they're looking for

- A physical design or CAD methodology engineer who has built flows that production teams depend on daily
- Automation-minded, happiest when you are removing manual steps and making PPA exploration repeatable
- Building with AI as part of how you develop flows, and opinionated about where LLMs and ML-driven optimization genuinely help versus where they do not
- An effective partner to design teams and EDA vendors, and a clear writer who documents flows well enough that others can run them without you

Tags: AI Hardware: IP Hardware