Technical Program Manager, AI/ML Hardware

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Technical Program Manager, AI/ML Hardware
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Facebook is seeking a Technical Program Manager (TPM) with large-scale hardware system infrastructure experience related to AI (Artificial Intelligence)/ML (Machine Learning). You will lead cross-functional and multi-site teams on developing and evaluating various hardware solutions to support our infrastructure. Facebook's Infrastructure Engineering organization is responsible for the growth, management and upkeep of all Facebook's products and services. This is a full-time position and will report to the Group Technical Program Manager.
Technical Program Manager, AI/ML Hardware Responsibilities
  • Lead the technical program management of our Artificial Intelligence/Machine Learning (AI/ML) system platforms in a matrix organization across different locations covering a range of areas (Data Center, Network, Hardware Systems, Infrastructure Engineering, Software Engineering, Capacity Management).
  • Drive and manage the development of AI/ML systems and subsystems from concept to production with suppliers, partners, and internal software and hardware teams.
  • Develop and manage overall program requirements, scope, schedules, and deliverables with engineering teams, partners, and stakeholders.
  • Provide hands-on program management during analysis, design, development, testing, implementation, and post implementation phases.
  • Engage in product management in collaboration with Engineering counterparts to define product roadmaps.
  • 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.
  • Analyze infrastructure needs and produce hardware designs and prototypes to meet those needs.
  • Manage and drive strategic vendor engagement and deliveries.
  • Work independently with minimal supervision.
Minimum Qualifications
  • B.S. in Computer or Electrical Engineering, Computer Science, or a related technical discipline, or equivalent experience.
  • 10+ years of hardware engineering, software engineering, systems engineering and/or technical product/program management experience.
  • Experience moving technical or engineering programs and products from inception to delivery, articulating the impact using metrics.
  • Analytical and problem-solving experience with large-scale systems.
  • Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones.
  • Communication and interpersonal skills, including relationship building and collaboration within a diverse, cross-functional team to develop solutions.
  • Organizational and coordination skills along with multitasking experience to get things done in an ambiguous and fast paced environment.
  • Experience with Deep Learning frameworks like PyTorch, TensorFlow, MXNet, Keras or XGBoost etc.
  • Experience in Hardware New Product Introduction and Hardware development life cycle.
Preferred Qualifications
  • Experience working with OEM or ODM partnerships.
  • Background in one or more of: Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, or Artificial Intelligence.
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 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
(Colorado only*) Estimated salary of $200,000/year + bonus + equity + benefits
*Note: Disclosure as required by sb19-085(8-5-20)
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