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Salary
≈ $207k – $378k per year (Estimated)
Location
In office (Sunnyvale)
Seniority
Staff · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 20, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match
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.
Meta's Silicon Engineering organization is building custom silicon solutions that power the infrastructure behind Meta's AI, data center, and next-generation computing platforms. As a Staff ASIC Implementation Engineer, you will drive the physical implementation and synthesis of complex custom ASICs from RTL to tape-out, shaping the architectural and methodological decisions that define Meta's silicon roadmap. In this role, you will own end-to-end implementation flows, establish best practices across teams, and partner with design, verification, and physical design teams to deliver high-performance, power-efficient silicon at scale.

Responsibilities

Lead end-to-end ASIC implementation flows, including logic synthesis, static timing analysis, formal verification, and design-for-test integration for complex custom silicon designs Define and own synthesis and implementation methodology, establishing reusable flows and constraints that scale across multiple chip projects Drive timing closure strategies across hierarchical design partitions, resolving critical path bottlenecks through collaboration with RTL designers and physical design engineers Develop and maintain synthesis scripts, constraint files, and automation infrastructure to improve implementation quality and reduce iteration cycles Generate SOC floorplans at the chip level, subsystem level, block level and enable block implementation owners to execute on synthesis & physical design Perform top-level logical and physical connectivity and beachfront analysis, including pipe/shim and feedthrough block insertion for timing and area optimisation Partner with architecture and RTL teams to provide early feedback on design decisions that impact area, power, and timing outcomes Define and enforce design rules and quality sign-off criteria across implementation milestones, ensuring readiness for tape-out Identify and drive the resolution of cross-functional implementation risks, communicating status and trade-offs to engineering leadership and program stakeholders Mentor other engineers on implementation methodology, synthesis best practices, and timing analysis techniques Contribute to long-term silicon implementation strategy, evaluating new EDA tools, flows, and technologies to advance Meta's custom chip capabilities

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8+ years of experience in ASIC implementation, including logic synthesis, static timing analysis, and timing closure for complex SoC or custom ASIC designs Experience with industry-standard synthesis and implementation EDA tools such as Synopsys Design Compiler, Fusion Compiler, or Cadence Genus Experience defining and managing synthesis constraints including SDC, UPF, and hierarchical design methodologies Experience driving timing closure across multi-million gate designs with multiple clock domains and complex timing exceptions Experience developing and maintaining implementation automation using scripting languages such as Tcl or Python Experience evaluating and integrating new EDA tools or methodologies into production implementation flows Familiarity with physical-aware synthesis and early floorplan co-design techniques to improve PPA outcomes Track record of defining implementation sign-off criteria and leading tape-out execution for complex ASIC designs Experience with custom ASIC implementation targeting data center, AI accelerator, or high-performance computing applications

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