Summary:
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.
Required Skills:
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:
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:
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
Public Compensation:
$212,000/year to $294,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.