Technical Program Manager, ASIC

Meta

$160K — $190K *
Technical Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS degree in Computer Science, Computer/Electrical Engineering, or relevant technical field
  • 10+ years of experience in ASIC development
  • 2+ years in Program/Product Management or Engineering Management
  • Proven ability to oversee both technical details and big-picture strategy
  • Experience managing the ASIC design flow from architecture to physical layout
  • Expertise in pre-silicon testing methods such as Emulation and FPGA

Responsibilities

  • Manage infrastructure programs across various functions in a matrix organization
  • Drive and oversee ASIC development from concept to production with vendors
  • Lead program management throughout all phases of silicon and firmware development
  • Collaborate with stakeholders to define product development roadmaps
  • Ensure high-quality execution of ASIC program deliverables
  • Identify and implement internal process improvements across teams
  • Coordinate with software, hardware, and architecture teams to meet project requirements

Benefits

  • Full-time position with potential for long-term career growth at Meta
  • Opportunity to work on cutting-edge ASIC and infrastructure projects
  • Engage with cross-functional teams in a highly collaborative environment
  • Access to professional development resources and training opportunities
  • Flexible work environment supporting work-life balance
Full Job Description
This role is for a Technical Program Manager with ASIC design and development experience. This Technical Program Manager will lead cross-functional and multi-site teams on delivering ASICs to enable Meta's Infrastructure Engineering organization, whose responsibilities include the growth, management and 24x7 upkeep of Meta's family of apps. This is a full-time position reporting to the Group Technical Program Manager.

Responsibilities

Manage cross-functional infrastructure programs in a matrix organization covering a range of functional areas in Silicon Engineering, Platform Software, Hardware Systems, Sourcing & Operations and vendors.
• Drive and manage ASIC development and their subsystems with vendors, from concept to production.
• Provide hands-on program management during all phases of silicon and firmware development from concept, design, development, fabrication, validation, qualification and production release phases.
• Engage with stakeholders to define product development roadmaps.
• Drive program execution to deliver high quality ASIC solutions.
• Drive internal process improvements across multiple teams and functions.
• Work with the software, hardware, architecture teams to understand requirements and constraints.

Minimum Qualifications
• BS degree in Computer Science, Computer / Electrical Engineering or other technical field
• 10+ years of experience in ASIC development
• 2+ years of experience in Program/Product Management or Engineering Management with proven leadership in delivering successful products
• Demonstrated experience to manage from technical details to big picture
• Experience in managing ASIC design flow (architecture, micro-architecture, RTL, Synthesis, functional verification, physical layout etc.)
• Experience in pre-silicon testing with Emulation, FPGA and post-silicon validation
• Proven stakeholder management skills, including relationship building and collaboration within a cross-functional team
• Demonstrated organizational and cross-functional leadership skills

Preferred Qualifications
• Hands-on RTL design experience with VHDL/Verilog/SystemVerilog and modern Design Verification methodologies
• Familiar with semiconductor technology and manufacturing processes
• Experience with data center architecture and deployment
• Experience working with ODMs/vendors
• Familiar with Machine Learning training or inference silicon and systems
• Work experience in semiconductor start-ups
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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