ML Hardware Verification Manager

Meta is building custom silicon to power the next generation of AI and machine learning workloads across its Reality Labs products. We are seeking an experienced ML Hardware Verification Manager to lead the design verification efforts for custom ML accelerators and silicon platforms. 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. You will partner closely with ML researchers, architects, RTL designers, and software teams to define verification strategies and drive tape-out milestones.

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 System Verilog 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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $212,000/year to $294,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity:

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
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