Meta is seeking a hands-on engineering manager to join the AI & Systems Co-Design team. The Co-Design team works at the intersection of hardware, software and AI technologies, making direct contributions on LLama, DLRM, DCPerf, MTIA and many other cutting edge open-source as well as internal infrastructure projects.
The Co-Design team has established relationships with both academia and industry. We frequently collaborate with academia through internships and have a track record of publications in top AI, systems and architecture conferences. We partner closely with industry leaders to influence their roadmaps and build the best products for Meta’s Infrastructure.
Join us and be a part of the team that is shaping the future of Meta AI infrastructure!
- 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
Minimum Qualifications
- 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
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
For those who live in or expect to work from California if hired for this position, please click here for additional information.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$177,000/year to $251,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity
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