Silicon Verification Manager – AI Accelerators
Company | Meta |
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Location | Menlo Park, CA, USA, Sunnyvale, CA, USA |
Salary | $173000 – $249000 |
Type | Full-Time |
Degrees | Master’s, PhD |
Experience Level | Senior, Expert or higher |
Requirements
- 4+ years supporting design verification teams, driving strategy/planning and cross-functional partner collaboration on low power/high performance IP/SOC projects
- 2+ years of Management or Technical leadership experience
- 6+ years of System Verilog UVM DV experience
- Knowledge with assertions (SVA) or others
- Knowledge of digital ASIC design flows, project management and milestones
- Knowledge of X-propagation, UPF-power aware, Gate-level simulations
- Experience with at least 1 procedural programming language (C, C++, Python etc)
- Results oriented, self-motivated, proactive with demonstrated critical thinking
- MS EE/CS or equivalent experience
Responsibilities
- Support design verification team members’ skills development, career and personal growth, task prioritization and ownership
- Work with cross-functional partner teams defining and improving SW-HW verification methodologies and strategies for Machine learning accelerator IP
- Define and track project milestones and detailed plans for module- and top-level functional, power, and performance verification
- Support implementation of scalable test benches including checkers, reference models, and assertions, directed and random tests
- Track and report functional coverage metrics, power and performance metrics, and bugs encountered and fixed
- Support SW-HW co-design, development of SW unit tests and/or custom kernels
- Support post silicon bring-up and debug activities
Preferred Qualifications
- Experience in Machine Learning IPs Silicon development
- Exposure to other verification methodologies (formal, co-simulation, etc)
- FPGA/Emulation prototyping and debug experience
- Experience with SW-HW co-design, firmware/HW interaction testing
- Experience with AI algorithms, DSP coding and optimization
- Experience to collaborate and/or lead in a team environment
- PhD in Electrical Engineering or Computer Science or equivalent experience