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Staff Engineer, Physical Design

TenstorrentAustin, Texas, United States; Fort Collins, Colorado, United States; Santa Clara, California, United States
Hybrid Full-time

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Experience Level

Entry Level

Qualifications

Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or related fields, with demonstrated experience in synthesis, place-and-route, and timing closure on taped-out designs. Proficiency with industry-standard tools such as Innovus, PrimeTime, and RedHawk, along with scripting languages like Tcl, Perl, and Python. In-depth understanding of advanced node challenges and low-power design techniques, including power gating, multi-Vt, and voltage scaling. Experience in managing physical design requirements from initial architecture through to final signoff.

About the job

At Tenstorrent, we are pioneering advancements in AI technology, setting new benchmarks for performance, usability, and cost-effectiveness. As AI transforms the computing landscape, our solutions are designed to integrate innovations across software models, compilers, platforms, networking, and semiconductors. Our talented team of technologists has built a high-performance RISC-V CPU from the ground up, driven by a shared enthusiasm for AI and a commitment to developing an exceptional AI platform. We prioritize collaboration, curiosity, and a dedication to tackling challenging problems. As we expand our team, we invite contributors of all experience levels to join us.

We are looking for skilled Physical Design Engineers to develop high-performance blocks for our state-of-the-art CPU and AI/ML architectures. In this role, you'll manage the entire implementation process from synthesis to tapeout, collaborating with leading engineers to push the limits of performance, power, and area. If you are passionate about designing silicon that drives the future of AI computing and enjoy solving intricate design challenges, we would love to have you as part of our team.

This position is hybrid, based in Austin, TX, Santa Clara, CA, or Fort Collins, CO.

We welcome applicants with diverse experience levels. During the interview process, we will evaluate candidates to align offers with their respective skill levels, which may differ from the one stated in this posting.

About Tenstorrent

Tenstorrent is at the forefront of AI technology, focused on enhancing computing performance and efficiency. Our commitment to innovation has led us to build groundbreaking AI platforms and architectures, driven by a passionate team dedicated to excellence.

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