AI/ML Physical Design Flow Engineer
$100k - $500k • Austin, Texas, United States; Fort Collins, Colorado, United States; Santa Clara, California, United States
Posted 23d ago
Job Location
Austin, Texas, United States; Fort Collins, Colorado, United States; Santa Clara, California, United States
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
Tenstorrent is seeking a Physical Design Engineer to lead cross-functional efforts in solving complex physical design challenges and developing end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities. This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role, and offers will align with the assessed level.
Responsibilities
- Lead and contribute to cross-functional efforts solving complex physical design challenges across IPs, projects, and advanced technology nodes.
- Develop and enhance RTL-to-GDS methodologies, including floorplanning, synthesis, P&R, STA, signoff, and assembly.
- Architect and deploy AI/ML-driven solutions in production flows to improve engineering efficiency, turnaround time, and QoR.
- Optimize EDA tools and custom CAD flows using data-driven and ML-based techniques, in close collaboration with verification, extraction, timing, DFT, and EDA vendors.
Requirements
- BS in Electrical or Computer Engineering (or equivalent experience) 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 experience with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows.
- Strong Python/Tcl and data skills.
- Interest or experience in ML frameworks (PyTorch, TensorFlow).
- Ability to drive complex projects independently.
Benefits
- Compensation ranges from $100k - $500k including base and variable compensation targets.
- Highly competitive compensation package and benefits.