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Sr. Staff Engineer, Tools Lead

TenstorrentAustin, Texas, United StatesOnsite

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 looking for a talented and experienced Tools Lead to join our team. In this role, you will be responsible for designing and developing tools and instrumenting our code base to gather critical information to analyze customer issues offline. This information will be used to diagnose and resolve issues and improve the user experience of our customers.This role ishybrid, based out of Austin, TX; Santa Clara, CA; or Toronto, ON.

Responsibilities:


  • Lead the development and implementation of analysis tools and instrumentation for the runtime software and firmware of a custom highly parallel AI processor
  • Develop automated systems to gather and report diagnostic data from in house and customer installations.
  • Analyze diagnostic data identify and resolve issues.
  • Ensure tools are scalable and can handle complex, multi-threaded software environments.
  • Work closely with the customer support team to provide insights and solutions for
  • customer-reported problems.
  • Continuously improve the tools based on feedback and technological advancements.

Experience & Qualifications:


  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Experience in developing tools and instrumentation for complex software systems.
  • Strong proficiency in C++ and experience with multi-threaded programming.
  • Deep understanding of software debugging, profiling, and performance analysis.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and the ability to work collaboratively in a fast-paced environment.
  • Prior experience in the semiconductor or AI industry is a plus.

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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