Meta is seeking a Technical Program Manager (TPM) experienced in managing large-scale AI cluster design, development and deployment. This position will work with cross-functional teams in Meta's Infrastructure organization to build Large-scale AI clusters that enable Meta's AI applications and use cases . This position would focus on creating strategies and executing plans to enable Meta's various AI software workloads to get onboarded on full stack hardware in large-scale AI clusters.This role would be responsible for successful design, build-out, delivery and turn-up of large-scale AI clusters end-to-end; this includes influencing network topology, determining the most appropriate hardware infrastructure in terms of Compute, Storage and Network and how they work together as a solution, delivering such hardware into data center, influencing orchestration system and cluster level software tooling and provisioning, driving cluster-level testing, optimizing cluster-level software performance, and/or migrating existing software applications to enable cluster-level turn-up for AI applications and use cases.This role would work with Infrastructure Hardware development, Infrastructure software, Capacity Planning, Data Center, Network Infrastructure and Infrastructure sourcing teams. Meta's Infrastructure Engineering organization is responsible for the growth, management and 24x7 upkeep of all Meta's products and services.
Infra Hardware Technical Program Manager - AI Cluster Responsibilities:
Own overall program success spanning large-scale AI cluster build-out end-to-end from concept to full production in a matrix organization covering a range of areas (Infrastructure Hardware development, Infrastructure software, Capacity Planning, Data Center, Network Infrastructure and Infrastructure sourcing teams.) and across multiple physical locations
Create and gather alignment across multiple organizations regarding the business value of specific large-scale AI clusters. Value proposition include adopting new technologies and enabling AI use cases
Create execution plan, including influencing network topology, determining the most appropriate hardware infrastructure in terms of Compute, Storage and Network and how they work together as a solution
Deliver full stack hardware (Compute, Storage, Network, Silicon etc) into the data center and optimizing software performance and large scale testing
Lead migration of existing software applications to enable cluster-level turn-up for AI applications and use cases
Drive overall communication to leadership, stakeholder and core working teams in regular cadence to bring awareness
Develop and manage the overall program including defining scope, requirements, development model, schedules, and deliverables with engineering teams, partners, and stakeholders
Perform risk assessment, risk mitigation and change management on projects
Drive internal process improvements across multiple teams and functions
Minimum Qualifications:
B.S. in Computer Science, Electrical Engineering or a related technical discipline, or equivalent experience
15+ years of systems engineering, hardware engineering, software engineering, or technical product/program management experience
Understanding of AI hardware stack, bottleneck and dependencies in a cluster setting
Experience delivering complex tech programs and/or products from inception to delivery
Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership
Experience communicating and working with technical management teams to develop systems, solutions, and products
Analytical problem-solving experience with large-scale systems and organizational skills
Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones
Preferred Qualifications:
Knowledge of storage, compute, networking hardware and technologies
Experience in large scale AI cluster build out
Experience with data center architecture and deployment
Experience working with capacity planning, migration and turn-up
Experience working in a web or internet start-up environment
Technical infrastructure management experience
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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$240,000/year to $309,000/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.
