Artificial Intelligence Technical Program Manager

Key Skills

Aartificial intelligence, Computer Vision (CV), Confluence, Design, Effective communication skills, JIRA, Large Language Models - LLMs, Leadership Skill, Machine learning techniques, Operations, Project management, RTL design, Server architectures

Job Description

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

AMD together we advance_

THE ROLE:

As a Technical Program Manager in AMD's AI engineering division, you will oversee end-to-end delivery of cutting-edge AI/ML architecture to AMD Products. You will explore the potential of hardware solutions to address real-world challenges and collaborate with product management, customers, software and hardware engineering teams, quality assurance, and operations within a rapidly expanding team. Additionally, you will gain exposure to state-of-the-art AI/ML architecture in diverse fields, including Computer Vision, Large Language Models, and Recommender Systems.

THE PERSON:

The ideal candidate for this role will be a proactive, enthusiastic, and quick-learning individual passionate about emerging technologies. As a results-driven, adaptable problem-solver, they will thrive in a dynamic environment, effectively navigating ambiguity and change. Leveraging their engineering background and demonstrated success in silicon design delivery, the successful candidate will possess exceptional communication skills, engaging with key stakeholders at all levels – from driving technical conversations to leading executive program reviews.

KEY RESPONSIBILITIES:

• Collaborate with engineering managers, hardware/software developers, and product managers to drive the planning and execution of multiple dynamic silicon development projects 
• Define, plan, and execute projects and program plans based on management guidance and senior technical mentorship.
• Assess the technical feasibility of new products by clarifying and analyzing requirements with software/hardware architects, technical leads, and engineers
• Develop program schedules, considering various silicon development process and hardware/firmware dependencies, and build staffing plans to support the timeline
• Participate in creating project plans and schedules; develop and improve processes for tracking projects and risk mitigation
• Deliver on all assigned program commitments from inception through execution within schedule, budget, and scope
• Act as a critical liaison between R&D and other partners for successful project execution
• Own resource tracking, status reporting, and issue communication to key partners, including senior executives and customers 
• Prepare and deliver project status updates and reviews to internal stakeholders 
• Investigate technical aspects of the program and drive details within silicon design process: RTL design, verification, pre and post silicon validation. Power, performance, area tradeoff.
• Lead across cross-functional teams, including business units, engineering organizations, and finance/operations
• Collaborate closely with engineering counterparts across global sites to plan and align operational efficiencies

PREFERRED EXPERIENCE:

• Familiarity with silicon design process. Experience in silicon design, verification, validation development preferred.
• Excellent presentation and leadership skills, able to lead technical discussions
• Strong interpersonal skills
• Exceptional written and verbal communication skills
• Experience leading complex, interrelated projects, programs, and functions
• Outstanding team player, dedicated to meeting deadlines in a fast-paced, multitasking environment
• Customer-facing experience is a plus
• Proficiency in tools like JIRA, Confluence, SharePoint, Excel and MS Office
• Knowledge of AI/ML technologies is an asset
• Experience collaborating with globally distributed teams

ACADEMIC CREDENTIALS:

• Bachelor’s or Master’s degree in Computer/Electrical Engineering