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Lead Engineer in AI Subsystems 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

Experience

Qualifications

Who You AreYou are a hands-on engineer with extensive expertise in SOC/ASIC physical design and a history of successful tapeouts. You are passionate about optimizing PPA through innovative implementation strategies and close collaboration with RTL teams. You possess strong problem-solving skills and excel at debugging intricate issues across design hierarchies. You thrive as a collaborative team player in fast-paced, technically demanding environments. What We NeedA BS, MS, or PhD in Electrical Engineering, Electrical and Computer Engineering, Computer Engineering, or Computer Science with demonstrable 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. A deep 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 the early architectural phase through to final sign-off.

About the job

At Tenstorrent, we are at the forefront of pioneering AI technology, challenging the norms of performance, usability, and cost-effectiveness. As AI reshapes the landscape of computing, we are committed to evolving our solutions to integrate advancements in software models, compilers, platforms, networking, and semiconductor technologies. Our dynamic team has successfully built a high-performance RISC-V CPU from the ground up, fueled by a collective passion for AI and a relentless drive to create the ultimate AI platform. We cherish collaboration, curiosity, and a strong commitment to tackling complex challenges. As we expand our team, we welcome contributors across all experience levels.

We are currently on the lookout for a Physical Design Engineer to take charge of timing for subsystems within our AI accelerator chip. In this role, you will work closely with RTL designers during the design exploration phase to evaluate the feasibility and performance, power, and area (PPA) of micro-architectural features. Your tasks will involve developing timing constraints and guiding the transition to physical design implementation. Key responsibilities include synthesis, place and route, timing analysis and closure, and power optimization. With a wide design space available for AI accelerators, your contributions will be crucial in selecting micro-architecture design points that align with die-size and PPA objectives.

This position offers a hybrid work environment, with options based in Austin, TX, Santa Clara, CA, or Fort Collins, CO.

We invite candidates of all experience levels to apply. During the interview process, we will assess each candidate's fit for the appropriate level, and compensation will correspond accordingly, which may differ from the level indicated in this posting.

About Tenstorrent

Tenstorrent is an innovative leader in the AI technology sector, dedicated to transforming performance standards, user experience, and cost-effectiveness. Our diverse and talented team is driven by a shared enthusiasm for AI and a commitment to developing the best AI solutions in the industry.

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