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ASIC Engineer, Formal Verification

Meta
Remote Remote - USA
$150k - $220k (est.) +17% vs avg
Posted Jan 24, 2026
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About This Role

Meta is hiring ASIC Formal Verification Engineer within the Infrastructure organization. We are looking for individuals with experience in Formal Verification to build IP and System On Chip (SoC) for data center applications. As a Formal Verification Engineer, you will be part of a team working with the best in the industry, focused on developing innovative ASIC solutions for Meta's data center applications. You will be developing comprehensive formal testplans and be responsible for complete formal verification sign-off of single or multiple complex blocks. The role also provides ample opportunities to partner and collaborate with full stack software, hardware, ASIC Design, Emulation and Post-Silicon teams towards creating a first-pass silicon success. ASIC Engineer, Formal Verification Responsibilities: Provide technical leadership in Formal Verification Propose, implement and evangelize the Formal Verification Methodology to be used across the group, both at the top level and at the block level Work with Architecture and Design team to come up with formal specification and implementation Define formal verification scope, create formal environment and close coverage with targeted Formal Verification Techniques at IP, Subsystem and SoC level Build reusable/scalable environments for Formal Verification and deploying the tools Evaluate and recommend EDA solutions for Formal Verification Provide training for internal teams and mentoring engineers related to Formal Verification Technology Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8+ years of experience in Design Verification 5+ years of experience in Formal Verification Experience with Formal Verification applications including Datapath, sequential equivalence, Xprop, Clock Gating, connectivity etc Proven understanding of Formal Verification methodologies, complexity reduction techniques and abstraction techniques Pr

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