AI/ML Physical Design Flow Engineer
Tenstorrent · Austin, Texas, United States; Fort Collins, Colorado, United States; Santa Clara, California, United States · Austin
CHECKED 22H AGO
Infrastructureonsite$100k–$500k
At a glance
Highlights
- Lead cross-functional efforts solving complex physical design challenges.
- Develop end-to-end RTL-to-GDS methodologies across advanced nodes.
- Deploy AI/ML solutions in production flows to improve efficiency and QoR.
Ideal candidate
Collaborative, curious engineer passionate about AI hardware who loves blending ML with physical design to push PPA limits and thrives driving complex, cross-functional projects independently.
Requirements
- BS in Electrical or Computer Engineering or equivalent with 5+ years in Physical Design CAD methodology at advanced nodes
- Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs
- Hands-on with industry-standard EDA tools across synthesis, P&R, STA, signoff and hierarchical flows
- Strong Python/Tcl and data skills with interest or experience in ML frameworks and ability to drive complex projects independently
- remote policy
- Hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO
- hiring process
- Candidates will be assessed for the appropriate level during the interview process and offers will align with that level
Lab profile
About Tenstorrent
Builds high-performance RISC-V CPUs and AI accelerators with full-stack software for efficient AI computing.
What they build
- AI accelerators
- RISC-V CPUs
- AI software and compilers
Known for
- Custom RISC-V CPU development from scratch
- Full-stack AI hardware and software
- Performance, ease of use and cost efficiency
Key facts
- Founded in 2016
- Headquartered in Toronto, Canada
- Backed by Samsung and Hyundai Motor Group