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Functional Simulation Architect

TenstorrentUnited StatesOnsite
This job is no longer open

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.
As a Functional Simulation Architect, you will author a virtual platform comprising SystemC/C++ models of CPU, ML Accelerators and peripheral controllers. You will provide this platform to the Architects and software engineering to start hardware-software co-development. You will be responsible for managing the development and enhancements of these models and integration to the full platform.This role is

Hybrid, based out of Santa Clara, CA or Austin, TX.

Responsibilities:


  • Guides the development and use of complex models, platforms and related tools to facilitate hardware-software co-design
  • Guides modeling architectures, requirements, and systems performance
  • Guides the creation of models to support analysis of alternatives, design and performance trade-offs, and new features and develops alternatives for deployment based 
  • Mentors Mid-, and Junior-level contract Engineers.

Experience & Qualifications:


  • B.S. or M.S. degree in Computer Engineering or Electrical Engineering or related technical fields
  • hands-on programming experience in C/C++ or other object oriented programming languages.
  • Strong understanding of low level OS and Hardware programming
  • Understanding of complexities of developing, debugging, maintenance, and running prototype models, and tradeoffs in speed v/s accuracy of such platforms. 
  • 8+ years of experience in low level Software development, ASIC architecture evaluation, algorithm development, from within firmware or Hardware Modeling teams.
  • Experience working across multiple projects and adjusting priorities in partnership with stakeholders.

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.

This job is no longer open

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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