Infra Hardware TPM - AI Cluster
Location pin iconMeta 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 TPM - AI Cluster ResponsibilitiesOwn 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.
Orchestrating system and cluster level software tooling and provisioning,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 awarenessDevelop and manage the overall program including defining scope, requirements, development model, schedules, and deliverables with engineering teams, partners, and stakeholders.
Influence broader roadmaps through product interception and market fit, competitive analysis, and feasibility studiesProvide hands-on program management during analysis, benchmarking, design, development, testing, implementation, and post implementation phases.
Perform risk assessment, risk mitigation and change management on projects.
Provide day-to-day coordination and quality assurance for projects and tasks.
Drive internal process improvements across multiple teams and functions.
Manage and drive strategic vendor engagement and deliveries.
Minimum QualificationsB.
S.
in Computer Science, Electrical Engineering or a related technical discipline, or equivalent experience.
7
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 settingExperience delivering complex tech programs and/or products from inception to delivery.
Knowledge of user needs, gathering requirements, and defining scope.
Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership.
Communication experience and experience working with technical management teams to develop systems, solutions, and products.
Organizational, coordination and multi-tasking experience.
Analytical and problem-solving experience with large-scale systems.
Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones.
Preferred QualificationsKnowledge of storage and networking hardware and technologiesExperience in large scale AI cluster build outExperience with data center architecture and deployment.
Experience working with capacity planning, migration and turn-upWeb or Internet start-up environment and technical infrastructure management experience.
LocationsAbout MetaMeta 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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
If you need support, please reach out to accommodations-ext@fb.
com.
$167,000/year to $230,000/year
bonus
equity
benefits Individual pay is determined by skills, qualifications, experience, and location.
Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable.
In addition to base salary, Meta offers benefits.
Learn more about benefits at Meta.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
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 TPM - AI Cluster ResponsibilitiesOwn 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.
Orchestrating system and cluster level software tooling and provisioning,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 awarenessDevelop and manage the overall program including defining scope, requirements, development model, schedules, and deliverables with engineering teams, partners, and stakeholders.
Influence broader roadmaps through product interception and market fit, competitive analysis, and feasibility studiesProvide hands-on program management during analysis, benchmarking, design, development, testing, implementation, and post implementation phases.
Perform risk assessment, risk mitigation and change management on projects.
Provide day-to-day coordination and quality assurance for projects and tasks.
Drive internal process improvements across multiple teams and functions.
Manage and drive strategic vendor engagement and deliveries.
Minimum QualificationsB.
S.
in Computer Science, Electrical Engineering or a related technical discipline, or equivalent experience.
7
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 settingExperience delivering complex tech programs and/or products from inception to delivery.
Knowledge of user needs, gathering requirements, and defining scope.
Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership.
Communication experience and experience working with technical management teams to develop systems, solutions, and products.
Organizational, coordination and multi-tasking experience.
Analytical and problem-solving experience with large-scale systems.
Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones.
Preferred QualificationsKnowledge of storage and networking hardware and technologiesExperience in large scale AI cluster build outExperience with data center architecture and deployment.
Experience working with capacity planning, migration and turn-upWeb or Internet start-up environment and technical infrastructure management experience.
LocationsAbout MetaMeta 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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
If you need support, please reach out to accommodations-ext@fb.
com.
$167,000/year to $230,000/year
bonus
equity
benefits Individual pay is determined by skills, qualifications, experience, and location.
Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable.
In addition to base salary, Meta offers benefits.
Learn more about benefits at Meta.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
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