Software Engineering Manager – GPU AI Systems Co-Design

Software Engineering Manager – GPU AI Systems Co-Design

Requirements

• An MS in Computer Science or related fields, with 4+ years of management experience
• Technical depth in: AI Training and Inference workloads, GPU Systems Architecture, Hardware/Software Codesign
• Demonstrated experience in leading technical teams working on Artificial Intelligence/Machine Learning systems and related domains
• Proven track record of managing complex, large-scale programs and navigating the broad, interdisciplinary aspects of such projects
• Demonstrated interpersonal skills and capacity to achieve results through cross-functional collaboration and leadership

Responsibilities

• Lead the GPU AI Systems Co-Design Team responsible for driving Meta’s GPU accelerator roadmap
• Analyze trends and insights in Training and Inference workloads across GenAI and Ranking use-cases to inform strategic decisions
• Leverage the team’s technical expertise to pioneer innovative projects that significantly improve AI performance and efficiency at scale
• Collaborate cross-functionally across hardware, infrastructure, software and product teams to drive engineering efforts
• Build and scale a high-caliber team of engineers, drive recruitment, career growth, performance management, and strategic goal-setting

Preferred Qualifications

• A PhD in Computer Science or related fields with a demonstrated track record of research publications in AI/ML systems and related domains
• Capacity to effectively communicate with and influence executive leadership and decision makers
• Familiarity with infrastructure components, including networking, power management, data center space planning, and cooling system