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 stakeholders12+ 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 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 interfacesMeta builds technologies that help people connect, find communities, and grow businesses. In this role, you will manage a team of hardware verification engineers responsible for ensuring the functional correctness, coverage closure, and silicon readiness of ML-specific hardware designs, including tensor processing units, memory subsystems, and interconnect fabrics.