Technical Program Manager, ASIC

Meta

• $160K — $190K *
Telecommunications & Hardware
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS degree in Computer Science, Computer/Electrical Engineering, or a technical field
  • 10+ years of experience in ASIC development
  • 2+ years in Program/Product Management or Engineering Management
  • Ability to manage both technical details and overall strategy
  • Experience managing the full ASIC design flow
  • Skills in managing pre-silicon testing and validation processes
  • Proven cross-functional team stakeholder management

Responsibilities

  • Manage cross-functional infrastructure programs across various technical domains
  • Drive ASIC development from concept to production with external vendors
  • Provide hands-on program management throughout the silicon and firmware life cycle
  • Engage stakeholders to establish product roadmaps for development
  • Ensure program execution delivers high-quality ASIC solutions
  • Implement process improvements across teams and functions
  • Collaborate with software and hardware teams to understand project requirements

Benefits

  • Comprehensive health and wellness programs
  • Professional development and growth opportunities
  • Flexible work hours and remote work options
  • Collaborative and innovative work environment
  • Access to cutting-edge technology and resources
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
• Experience leading cross-functional programs by defining milestones, coordinating across teams, and driving execution to delivery

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

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