Sr. Technical Program Manager, Architecture

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 Technical Program Manager at Tenstorrent will be responsible for overseeing and coordinating the development of chip architectures specifically for CPU server and AI processors. We are looking for a highly skilled and experienced Program Manager to join our team, focused on managing our SOC architecture phase with background in RISC-V, AI accelerators or general SOC architecture and development experience. As an architecture Program Manager you need to see the big picture and be responsible for driving early SOC definition, implementation plans and schedules. Your role will involve collaborating with cross-functional teams, including Technical Program Management, Engineering, Architecture, Product Management, and Sales, to ensure the delivery of world-class solutions that meet customer requirements and drive business growth.

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

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:

• Define and establish chip architecture program goals, objectives, and deliverables specific to heterogeneous compute chips. 
• Collaborate with internal stakeholders, including hardware architects, design teams, software engineers, and product managers, to gather requirements and align on architectural specifications for the SoC. 
• Oversee the chip architecture program in the design process, ensuring compliance with industry standards, performance targets, power efficiency, and project timelines.
• Oversee the coordination and integration of chip architectures with system-level designs, software frameworks, and algorithm requirements.
• Manage and track program progress, identifying risks, issues, and dependencies specific to SOC development, and implement effective mitigation strategies.
• Communicate program status, updates, and challenges to senior management and stakeholders, highlighting the unique considerations and complexities 
• Foster a collaborative and productive work environment, promoting effective communication, teamwork, and knowledge sharing within the 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