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SoC Performance Architecture Lead


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.
We are seeking an experienced SoC performance architect for our fast-growing automotive SoC developments. In this role you will work on all aspects of performance modelling and analysis related to chiplet based Automotive SoCs. You will work closely with cross-functional teams, including hardware engineers, software developers, and system architects, to ensure that our target devices are performant.This role isremote, based out of United States.We welcome candidates at various experience levels for this role.

During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Responsibilities:


  • Drive all aspects of performance for Tentorrent automotive chiplet systems.
  • Develop SoC and subsystem level performance use case descriptions.
  • Develop models of interconnect and memory subsystem behaviour for target workloads
  • Work with external vendors on performance planning and drive the work to completion.
  • Drive internal activities, including simulation, modeling and emulation.
  • Plan and lead the automotive performance analysis activities.

Experience & Qualifications:


  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field. A Ph.D. is a plus.
  • Experience analyzing ML workloads
  • Solid understanding of CPU, interconnect and memory subsystem behavior.
  • Solid understanding of computer architecture, interconnects and memory system behavior
  • Proven experience in modelling and analysing complex workloads for SoCs.
  • Strong problem-solving skills and the ability to analyse complex system-level issues.
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set  by the U.S.

government.Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S.

government.  If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.

Life at Tenstorrent

At Tenstorrent, we are creating the next generation of high-performance processor ASICs, specifically engineered for deep learning and smart hardware. Our processor is designed to excel at both learning and inference, while being software-programmable to support future innovations in the field of machine learning. The processor's architecture easily scales from battery-powered IoT devices to large cloud servers, and surpasses today's solutions by several orders of magnitude in raw performance and energy efficiency. Our team, made up of alumni from hardware industry leaders like NVIDIA and AMD, is committed to providing the core hardware necessary to increase the pace of deep learning research and enable smart devices to live untethered from the power grid and the Internet. We are based in Toronto and proudly backed by Real Ventures, the Canadian VC of the Year two years running.
Thrive Here & What We Value* Innovation, collaboration, problem-solving* Competitive compensation package* Diverse team with varying seniorities* Hybrid work arrangement (Santa Clara, CA; Austin, TX)* Equal opportunity employer* Cutting-edge AI technology leadership* Passionate technologists in diverse teams* High performance RISCV CPU development
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