Staff Engineer

Tenstorrent

Tenstorrent

Software Engineering
United States
Posted on Jan 14, 2025

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 USA, Inc: Tenstorrent USA, Inc seeks Staff Engineer. Job site is located at 2600 Great America Way Suite 501, Santa Clara, CA 95054 (hybrid position and applicant can live within the MSA). The position requires a Master’s degree in Electrical Engineering, Computer Engineering, related field, or foreign equivalent and 24 months in job offered and closely related field.

Job Duties:

Collaborate with the software team and platform architecture team to understand CPU hardware requirements for AI accelerator compiler, OS, video/image/voice processing, security, networking, and virtualization technology. Identify the application performance bottlenecks and representative benchmarks for the software applications. Use the benchmarks and the performance model to perform data-driven analysis to evaluate software, architecture, and u-architecture solutions to improve performance, power efficiency, or reduce hardware. Set CPU architecture direction based on the data analysis and work with a cross- functional team to achieve the best hardware/software solutions to meet PPA goals. Develop a cycle-accurate CPU model that describes the microarchitecture, use it for evaluation of new features. Collaborate with RTL and Physical design engineers to make power, performance, and area trade-offs and drive analysis and correlation of performance feature both pre and post-silicon. This position will be hybrid, and the applicant can live within the MSA.

IF INTERESTED, PLEASE E-MAIL RESUMES:

Tenstorrent USA, Inc:

Jessica Yu

jyu@tenstorrent.com

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