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CPU Core Performance Verification Engineer


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 is seeking a CPU performance verification engineer to join our dynamic team. As a performance engineer you will play a crucial role in ensuring the performance of our CPUs through creation of performance stimulus and debug of custom and industry standard workloads. You will work closely with design and architecture teams to validate the performance of our advanced CPU designs.This role is hybrid, based out of Santa Clara, CA, Austin, TX or Fort Collins, CO

Responsibilities:


  • Develop test plans and stimulus for performance verification
  • Perform simulations using standard tools and emulation
  • Bring up of industry standard and open-source performance workloads
  • Debug sources of miscorrelation between RTL design and performance model
  • Identify bottlenecks and work with team members to make fixes in performance model and/or RTL
  • Work with design, test and post silicon validation teams to ensure high quality delivery of the entire CPU core
  • Creation, enhancement and maintenance of performance tracking infrastructure, reports and debug tools

Experience and qualifications:


  • BS/MS/PhD in EE/ECE/CE/CS
  • Strong background and experience with high performance OOO CPU microarchitecture
  • Experience and understanding of one or more ISAs - x86, ARM or RISCV
  • Experience debugging RTL and DV in a simulation environment, proficient at waveform and log file based debug
  • Experienced with assembly, C/C++ and stimulus generation targeting both ISA and micro-architectural scenarios
  • Hands-on with scripting (Python, PERL)
  • Experience with hardware description languages (Verilog, VHDL) and simulators (VCS, NC, Verilator)
  • Strong problem solving and debug skills across various levels of design hierarchies

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  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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