AI/ML Physical Design Flow Engineer
TenstorrentJob Title
AI/ML Physical Design Flow Engineer
Role Summary
Lead cross-functional efforts to develop and deploy RTL-to-GDS physical design methodologies and AI/ML-driven tooling across advanced process nodes. The role focuses on improving power, performance, area (PPA) and runtime through data-driven and ML-enabled techniques, working closely with internal teams and EDA vendors.
Hybrid role based in Santa Clara, CA (options in Austin, TX or Fort Collins, CO).
Experience Level
Mid-level — expects approximately 5+ years of experience in physical design CAD methodology; candidates at different levels may be considered during interview.
Responsibilities
Primary responsibilities include architecting, integrating, and productionizing physical design flows and ML-enabled capabilities.
- Lead cross-functional efforts to solve complex physical design challenges across IPs, projects, and advanced nodes.
- Develop and maintain RTL-to-GDS methodologies: floorplanning, synthesis, place-and-route, STA, signoff, and assembly.
- Architect, validate, 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.
- Collaborate with verification, extraction, timing, DFT, and EDA vendors to integrate solutions and support tapeout-quality designs.
Requirements
Must-have technical skills and demonstrated experience.
- Approximately 5+ years of experience in Physical Design CAD methodology at advanced technology 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 across synthesis, P&R, STA, signoff, and hierarchical flows (e.g., Fusion Compiler).
- Strong scripting and data skills (Python, Tcl) and the ability to analyze and act on design data.
- Experience with or strong interest in ML frameworks (PyTorch, TensorFlow) applied to EDA problems.
- Ability to independently drive complex projects and coordinate across teams and vendors.
- Eligibility to access U.S. export-controlled technology may be required; offers may be contingent on citizenship, permanent residency, or export license approval.
Education Requirements
Bachelor of Science in Electrical Engineering or Computer Engineering preferred; or equivalent practical experience (the posting states "BS in Electrical or Computer Engineering (or equivalent experience)").
About the Company
Company: Tenstorrent
Headquarters: Austin, Texas, United States
Tenstorrent is a technology company focused on designing innovative computing solutions. They are known for their expertise in the development of advanced hardware, including ASICs and SoCs, aimed at enhancing performance and efficiency in various applications.
