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CPU Architecture, Technical Program Manager



IT, Operations
Santa Clara, CA, USA
Posted on Thursday, April 25, 2024

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 Chip Architecture Program Manager - CPU Server and Machine Learning will be responsible for overseeing and coordinating the development of chip architectures specifically for CPU server and machine learning processor. This role requires expertise in both server CPUs and machine learning accelerators, along with strong program management skills to successfully drive these complex projects to completion.

This role is hybrid, based out of Santa Clara, CA.


  • Define and establish chip architecture program goals, objectives, and deliverables specific to CPU server and machine learning chip development.
  • Collaborate with internal stakeholders, including hardware architects, design teams, software engineers, and product managers, to gather requirements and align on architectural specifications for CPU server and machine learning chips.
  • Oversee the chip architecture program in design process, ensuring compliance with industry standards, performance targets, power efficiency, and project timelines.
  • Oversee the coordination and integration of CPU server and machine learning chip architectures with system-level designs, software frameworks, and algorithm requirements.
  • Manage and track program progress, identifying risks, issues, and dependencies specific to CPU server and machine learning chip development, and implement effective mitigation strategies.
  • Communicate program status, updates, and challenges to senior management and stakeholders, highlighting the unique considerations and complexities associated with CPU server and machine learning chip development.
  • Foster a collaborative and productive work environment, promoting effective communication, teamwork, and knowledge sharing within the CPU server and machine learning chip development teams.
  • Conduct regular program reviews, evaluating performance, identifying areas for improvement, and implementing corrective actions.
  • Stay abreast of industry trends, emerging technologies, and advancements in CPU server architectures, machine learning accelerators, and related fields to drive innovation and maintain competitive advantage.

Experience & Qualifications

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
  • 7+ years of proven experience in chip architecture design, specifically focused on CPU server and machine learning chips, preferably in a program management or leadership role.
  • Strong understanding of server CPU architectures, microarchitecture design, and performance optimization techniques.
  • In-depth knowledge of machine learning chip architectures, including accelerators, deep learning processors, or dedicated neural network units (NNUs).
  • Familiarity with industry standards, such as x86, ARM, RISC-V, and relevant machine learning frameworks and algorithms.
  • Excellent project management skills, with the ability to manage multiple projects simultaneously, while accounting for the unique complexities of CPU server and machine learning chip development.
  • Demonstrated experience in leading cross-functional teams and driving collaboration among hardware, software, and algorithm teams.
  • Proficiency in project management tools and software.
  • Exceptional communication and interpersonal skills, with the ability to effectively communicate complex concepts to technical and non-technical stakeholders.
  • Strong problem-solving and decision-making abilities, particularly in addressing challenges specific to CPU server and machine learning chip development.
  • Ability to adapt to changing priorities and thrive in a fast-paced, dynamic environment.

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.