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 and 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.