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Summary:

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.

Required Skills:

Infra Hardware Technical Program Manager - AI Cluster Responsibilities:

1. 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

2. 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

3. 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

4. Deliver full stack hardware (Compute, Storage, Network, Silicon etc) into the data center and optimizing software performance and large scale testing

5. Lead migration of existing software applications to enable cluster-level turn-up for AI applications and use cases

6. Drive overall communication to leadership, stakeholder and core working teams in regular cadence to bring awareness

7. Develop and manage the overall program including defining scope, requirements, development model, schedules, and deliverables with engineering teams, partners, and stakeholders

8. Perform risk assessment, risk mitigation and change management on projects

9. Drive internal process improvements across multiple teams and functions

Minimum Qualifications:

Minimum Qualifications:

10. B.S. in Computer Science, Electrical Engineering or a related technical discipline, or equivalent experience

11. 15+ years of systems engineering, hardware engineering, software engineering, or technical product/program management experience

12. Understanding of AI hardware stack, bottleneck and dependencies in a cluster setting

13. Experience delivering complex tech programs and/or products from inception to delivery

14. Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership

15. Experience communicating and working with technical management teams to develop systems, solutions, and products

16. Analytical problem-solving experience with large-scale systems and organizational skills

17. Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones

Preferred Qualifications:

Preferred Qualifications:

18. Knowledge of storage, compute, networking hardware and technologies

19. Experience in large scale AI cluster build out

20. Experience with data center architecture and deployment

21. Experience working with capacity planning, migration and turn-up

22. Experience working in a web or internet start-up environment

23. Technical infrastructure management experience

Public Compensation:

$error/year to $error/year + bonus + equity + benefits We apologize for the inconvenience, please be patient as we work to correct the issue.

Industry: Internet

Equal Opportunity:

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.