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Rework Technician

TenstorrentToronto, Ontario, CanadaOnsite

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.
The Systems Engineering team is looking for an experienced Rework Technician / Lab Manager to support our development activities in our Toronto lab.  You will work alongside experienced engineers and technicians as the team develops, deploys, and supports Tenstorrent boards and systems.This role ison-site, based out of Toronto, Canada.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:


  • Mechanical assembly of heatsinks, water blocks, coolant loops, systems and test jigs 
  • Rework of systems and boards down to the component level including QFNs and BGAs
  • Execute functional/electrical coverage testing on various boards and systems
  • Order and track lab supplies/components
  • Coordination of equipment calibration, recording of new equipment, and maintaining records
  • Bringing order to chaos in the electronics/mechanical lab environment
  • Prepare and/or maintain rework documents, coordinating as needed with external rework houses and manufacturers

Experience & Qualifications:


  • Experience with computer components and assembly is an asset
  • Experience using standard lab equipment such as multimeters, soldering irons, hot air reflow, board pre-heaters, etc.. 
  • Familiarity with the use of the Linux operating system is a plus, and exposure to Python is an asset
  • Excellent verbal and written communication skills
  • Superhuman attention to detail and organization skills

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.As this position will have direct and/or indirect 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 supporting documentation will be required and considered as a condition of employment.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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