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Active4w ago

Physical Design Engineer: Die-to-Die Interface (RTL to GDSII)

Tenstorrent·📍 Santa Clara, California, United States

Employment

Full-Time

Work mode

On-site

Experience

All levels

Salary

Not disclosed

Salary not disclosed

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Role overview

Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a highly skilled Physical Design Engineer to drive the critical Die-to-Die (D2D) Physical Implementation from RTL to GDSII. This role demands deep expertise in full physical design flow with a specific focus on closing high-speed D2D interfaces

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What they are looking for

Skills & requirements

Qualification

export license for persons whose most recent country of citizenship or permanent residence is a 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

Department · Silicon: Mixed Signal Design

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Hiring company

Tenstorrent

Technology

Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, RISC-V technology, advanced systems, and neural network compilers.

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