AI/ML Physical Design Flow Engineer

Tenstorrent; United States; Hybrid; USD 100,000 - 500,000; Full time

Benefits offered by this job

Highly competitive compensation package

Equal opportunity employer

Job summary

A leading technology company is seeking a Physical Design Engineer to lead efforts in addressing complex physical design challenges and developing RTL-to-GDS methodologies. The role emphasizes AI/ML-driven solutions and involves collaboration with teams and EDA vendors. Candidates should have a BS in Electrical or Computer Engineering and 5+ years of experience in physical design. This hybrid position is based out of Santa Clara, CA, Austin, TX, or Fort Collins, CO, with a compensation range from $100k to $500k.

Qualifications

• 5+ years in Physical Design CAD methodology at advanced nodes.
• Proven track record improving PPA and/or runtime on high-performance, low-power designs.
• Hands-on with industry-standard EDA tools.

Responsibilities

• Lead cross-functional efforts to solve physical design challenges.
• Develop and enhance RTL-to-GDS methodologies.
• Architect and deploy AI/ML-driven solutions in production flows.
• Optimize EDA tools and custom CAD flows.

Skills

Physical Design CAD methodology

PPA improvements

Python

Tcl

ML frameworks (PyTorch, TensorFlow)

Education

BS in Electrical or Computer Engineering

Tools

EDA tools (e.g., Fusion Compiler)

Job description

Tenstorrent is seeking a Physical Design Engineer to lead cross‑functional efforts to solve complex physical design challenges and develop 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.

Who you are

• 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 with industry‑standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows.
• Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independently.

What we need

• 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.

What you will learn

• How to scale AI/ML‑driven methodologies across diverse products and advanced technology nodes in real production flows.
• New ways to blend classical EDA algorithms with modern ML techniques to push PPA and runtime limits.
• Best practices for deploying, validating, and monitoring ML models in production CAD environments.
• How to influence next‑generation ML‑enabled EDA tools and collaborate deeply with cross‑functional teams (PV, extraction, timing, DFT).

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country.

This offer of employment is contingent upon the applicant being eligible to access U.S. export‑controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.