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Staff, Digital Design Verification Engineer, Chiplets

TenstorrentToronto, Ontario, CanadaOnsite
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.
Tenstorrent is looking for a Staff Digital DV Engineer to join our team. At Tenstorrent you will accelerate your career building the AI and Software 2.0 compute platform of the future. You will work on challenging engineering problems within our dedicated team. We are looking for a talented DV candidate with great communication skills to help build our products and improve our processes.This role is hybrid, based out of Toronto, Ottawa, Boston, or North Carolina. 

Responsibilities:


  • Verification of Tenstorrent's digital IP and SOC logic, using advanced verification methodologies - UVM, C/C++/Python, FPGA prototyping, emulation
  • Execution and creation of test plans
  • Writing testbenches, checkers and tests, models, assertions and initiators
  • Creating functional coverage points
  • Reviewing verification results and metrics while helping the team towards tape-out
  • Performance and power verification and validation of Tenstorrent's IP and SOC

Experience & Qualifications:


  • Bachelor/Master in Electrical/Computer Engineering/Engineering Science
  • 5-8 years experience in block-level verification
  • Strong hardware verification language experience (SystemVerilog, SystemC)
  • Knowledge of UVM and coverage driven constrained random verification
  • Excellent programming skills – particularly C, C++, Python.  (Also Ruby, Perl, Tcl, YAML, Make, Bash)
  • Deep interest in computer architecture, picking up new methodologies and tools, as well as the application of machine learning to make chip-design and verification more efficient

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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