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AI/ML Physical Design Flow Engineer

TenstorrentAustin, Texas, United States; Fort Collins, Colorado, United States; Santa Clara, California, United StatesAdvanced Physical Design
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Salary
Not listed
Job type
Full-time
Posted
3 Apr 2026
Status
Open · checked 7d ago

About this role

Role Overview

The AI/ML Physical Design Flow Engineer position at Tenstorrent involves architecting and deploying machine learning-driven solutions into production physical design flows for advanced nodes. This hybrid opportunity is located in Austin, Texas, Fort Collins, Colorado, or Santa Clara, California, and suits experienced engineering professionals with a background in CAD methodology.

Key Responsibilities

Lead and contribute to cross-functional initiatives tackling intricate physical design challenges spanning multiple projects, intellectual properties, and advanced technology nodes.
Build and refine RTL-to-GDS methodologies encompassing floorplanning, synthesis, place and route, static timing analysis, signoff, and assembly.
Architect, integrate, and deploy AI and machine learning solutions within production workflows to boost turnaround time, engineering efficiency, and quality of results.
Refine electronic design automation tools and custom computer-aided design flows using data-driven and machine learning methods.
Partner closely with internal verification, extraction, timing, design for test, and electronic design automation vendors.

Requirements

Hold a Bachelor of Science degree in Electrical Engineering, Computer Engineering, or possess equivalent practical experience.
Bring a minimum of five years of professional experience in physical design computer-aided design methodology working at advanced nodes.
Demonstrate a proven history of enhancing power, performance, area, and runtime metrics on taped-out, high-performance, and low-power designs.
Possess hands-on familiarity with industry-standard electronic design automation tools such as Fusion Compiler across synthesis, place and route, static timing analysis, signoff, and hierarchical flows.
Display strong programming capabilities in Python and Tcl along with data skills.
Show interest or practical background working with machine learning frameworks like PyTorch and TensorFlow.
Maintain the capability to drive complex projects independently.
Meet U.S. export control compliance requirements, as this role requires access to restricted technology.

Skills and Tools

Python
PyTorch
TensorFlow
Tcl
Fusion Compiler and industry-standard electronic design automation tools
RTL-to-GDS methodologies

Salary and Benefits

Total compensation for engineers at Tenstorrent spans from $100,000 to $500,000, encompassing both base salary and variable compensation targets. The final offer is influenced by factors such as individual experience, skills, educational background, background history, and work location. Tenstorrent provides a competitive compensation package and benefits program.

About the Company

Tenstorrent spearheads cutting-edge artificial intelligence technology designed to transform cost efficiency, ease of use, and performance expectations. The enterprise unites experts across software models, compilers, platforms, networking, and semiconductors, having built a high-performance RISC-V central processing unit entirely from scratch. The organization values collaboration, curiosity, and a dedication to solving challenging engineering problems.

How to Apply

Interested candidates should visit the official Tenstorrent careers page to submit an application for this position.

Skills and tech stack

Questions candidates ask

What are the location options for this role?

This hybrid position is based out of Tenstorrent offices in Santa Clara, California, Austin, Texas, or Fort Collins, Colorado.

What experience level is required?

Candidates must have at least 5 years of experience in physical design CAD methodology at advanced nodes. Tenstorrent welcomes applicants at various seniority levels.

What is the salary range for engineers at Tenstorrent?

Total compensation ranges from $100k to $500k, including base and variable compensation targets, depending on experience, skills, education, and location.

Are there specific technical skills needed?

Yes, applicants need strong Python and Tcl skills, familiarity with EDA tools like Fusion Compiler, and experience or interest in ML frameworks such as PyTorch and TensorFlow.

Are there export control restrictions for this job?

Yes, this position requires access to technology subject to U.S. export laws and regulations, meaning offers are contingent upon meeting export license and citizenship or permanent residency requirements.

Ready to apply?

The application is on the official Tenstorrent careers page.

Apply on company site