AI/ML Physical Design Flow Engineer (AI)

TL;DR

AI/ML Physical Design Flow Engineer (AI/ML): Developing end-to-end RTL-to-GDS methodologies for advanced AI hardware with an accent on PPA and runtime improvements. Focus on architecting and deploying AI/ML-driven solutions into production physical design flows and creating custom CAD tools.

Location: Hybrid; Must be based in Santa Clara, CA, Austin, TX, or Fort Collins, CO

Salary: $100k - $500k

Company

hirify.global is leading the industry in cutting-edge AI technology, developing high-performance RISC-V CPUs and an advanced AI platform.

What you will do

• Lead cross-functional efforts to solve complex physical design challenges across IPs, projects, and advanced technology nodes.
• Develop and enhance RTL-to-GDS methodologies, covering floorplanning, synthesis, P&R, STA, signoff, and assembly.
• Architect and deploy AI/ML-driven solutions in production flows to optimize engineering efficiency, turnaround time, and QoR.
• Optimize EDA tools and custom CAD flows using data-driven and ML-based techniques.
• Collaborate closely with verification, extraction, timing, DFT teams, and EDA vendors.

Requirements

• BS in Electrical or Computer Engineering or equivalent experience.
• 5+ years of experience in Physical Design CAD methodology at advanced nodes.
• Proven track record of improving PPA and runtime on high-performance, low-power taped-out designs.
• Hands-on experience with industry-standard EDA tools, such as Fusion Compiler.
• Strong proficiency in Python/Tcl and experience or interest in ML frameworks like PyTorch or TensorFlow.
• Must be eligible to access U.S. export-controlled technology (EAR compliance regarding citizenship/residency).

Culture & Benefits

• Highly competitive compensation package and benefits.
• Opportunity to work on cutting-edge AI hardware and RISC-V architecture.
• Collaborative and curious environment focused on solving hard technical problems.
• Exposure to scaling AI/ML methodologies across diverse production flows.