Physical Design Engineer, ML4PD
Tenstorrent · Austin, Texas, United States · Austin
Infrastructureonsitevarious experience levels$100k–$500k
At a glance
Highlights
- Contribute to physical design of high-performance chips for AI/ML architectures.
- Own implementation from synthesis through tapeout across multiple IPs.
- Optimize floorplanning, timing, power, performance and area for AI silicon.
Ideal candidate
A collaborative engineer excited by high-performance AI/ML silicon who enjoys solving hard physical design problems and learning how early architecture choices shape final chip quality.
Requirements
- BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field
- Experience with synthesis, place-and-route flows and physical design tools, including timing, EM/IR and power analysis
- Ability to contribute across floorplanning, clocking, I/O planning, timing closure, area and power optimization
- Strong Tcl, Perl, Shell and/or Python skills with knowledge of low-power techniques
- remote policy
- hybrid
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
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