Meta(Meta Platforms)岗位:ML Hardware Verification Manager Responsibilities
Lead and manage a team of hardware design verification engineers working on custom ML accelerator silicon, setting technical direction and driving execution against tape-out schedules
Define and own the verification strategy for ML hardware blocks, including compute engines, memory hierarchies, and on-chip interconnects, encompassing simulation and formal verification
Drive functional coverage closure and sign-off criteria across multiple silicon projects, ensuring verification completeness before tape-out
Partner with RTL design and architecture teams to review specifications, identify verification risks early, and influence design-for-verifiability decisions
Collaborate with post-silicon validation and software teams to align pre-silicon verification environments with bring-up and debug infrastructure
Establish and scale verification infrastructure, including UVM testbench development, constrained-random stimulus generation, and assertion-based verification frameworks
Translate organizational strategy into team roadmaps, balancing short-term tape-out deliverables with long-term investments in verification automation and reuse
Support SW-HW co-design, development of software unit tests and/or custom kernels
Communicate verification status, risk assessments, and mitigation plans clearly to engineering leadership and cross-functional stakeholders
Minimum Qualifications
12+ years of experience in hardware design verification, including functional simulation, coverage-driven verification, and formal verification of digital logic
5+ years of experience in managing hardware engineering teams, including setting technical direction and driving execution across multiple concurrent projects
Experience in Machine Learning on IPs and Silicon development
Knowledge of SystemVerilog Assertions, X-propagation, UPF-power aware, gate-level simulations
Experience with UVM-based testbench architecture and constrained-random verification methodologies applied to complex SoC or accelerator designs
Experience in driving verification closure for tape-out on custom silicon, including coverage analysis, regression management, and sign-off processes
Experience collaborating with RTL design, physical design, and post-silicon validation teams across the full silicon development lifecycle
BS degree in Electrical Engineering, Computer Science, or relevant field
Preferred Qualifications
Knowledge of convolutional neural networks, transformers, LLMs
Master's or PhD degree in Electrical Engineering, Computer Science, or relevant field
Familiarity with emulation platforms and FPGA-based prototyping as part of a pre-silicon verification flow
Experience with SW/HW co-design, firmware/HW interaction testing
Experience in verifying ML accelerator hardware components such as matrix multiply units, dataflow engines, or high-bandwidth memory interfaces
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United States of America:$212,000/year to $294,000/year + bonus + equity + benefits
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