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Staff Security Software Engineer, Platform

TenstorrentUnited 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.
As a Staff Platform Security Software Engineer, you will be responsible for designing and implementing robust reference implementations and components for secure computing and product security. You will work closely with our hardware and software development teams to ensure that our platform is secure from the ground up, and has all the necessary components for end-to-end solutions.This role ishybrid, based out of Santa Clara, CA, Austin, TX, or Toronto, ON.

Responsibilities:


  • Designing and implementing secure boot, key management and firmware update mechanisms.
  • Developing and implementing secure communication protocols.
  • Designing and implementing full life cycle product management.
  • Creating and maintaining security documentation and procedures.
  • Providing guidance to development teams on secure coding practices.
  • Keeping up-to-date with the latest security threats and countermeasures.
  • Collaborating with the broader industry on standardized approaches for security solutions on RISC-V, including standard TEE environments.
  • Collaborating with third-party security experts to ensure the highest level of security for our platform.

Experience & Qualifications:


  • Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent work experience.
  • 8+ years of experience in platform security software engineering.
  • In-depth knowledge of secure boot and firmware update mechanisms.
  • In-depth knowledge of TEE and confidential computing solutions.
  • Experience developing and implementing secure communication protocols.
  • Experience conducting security assessments and risk analysis.
  • Strong coding skills in C/C++ and one or more of Python, Rust or Go.
  • Excellent communication and collaboration skills.
  • Knowledge of RISC-V architecture 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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