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Salary
≈ $47k – $97k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 10+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Sep 28, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
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Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
The Meta Product Technical Program Management (TPM) community is pioneering technologies to bring users and businesses at a global scale. Product TPMs work at the cross-section between technical execution and business strategy and are expected to partner closely with Engineering and Product teams. Being a TPM at Meta means driving impact by delivering measurable results across a wide range of areas. You'll be responsible for defining and guiding high-level goals and roadmaps, monitoring and communicating progress, and defining functional requirements for new products and features. It also means having a technical background in system architecture and cross-functional product delivery, understanding system architecture, and the experience to effectively collaborate across functions and organizations to deliver impact.

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 Director 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

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 Experience managing stakeholder communication and alignment across cross-functional teams, including defining shared goals, resolving competing priorities, and driving consensus Experience leading cross-functional programs by defining milestones, coordinating across teams, and driving execution to delivery Hands-on RTL design experience with VHDL/Verilog/SystemVerilog and modern Design Verification methodologies Work experience in semiconductor start-ups Familiar with semiconductor technology and manufacturing processes Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Familiarity with Machine Learning training or inference silicon and systems Experience with data center architecture and deployment Experience working with ODMs/vendors 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)

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