
AI/ML Physical Design Flow Engineer
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
Requirements
Skills and Tools
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.