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.

Responsibilities

• 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.