GPU Validation Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
GPU Validation Engineer (Silicon/AI): Ensuring the quality of advanced graphics solutions for integrated, discrete, and AI-based products with an accent on functional verification and microarchitecture specifications. Focus on developing scalable test benches, debugging pre-silicon environments, and optimizing verification infrastructure.
Location: Hybrid; Must be based in the US (California: Folsom or Santa Clara)
Salary: $164,470 - $269,100
Company
is a global leader in creating exceptionally engineered technology and advanced graphics solutions to bring AI everywhere.
What you will do
- Perform functional verification of graphics logic components (3D graphics, media, display) to ensure designs meet specification requirements.
- Develop scalable and reusable IP verification plans and test benches to confirm graphics microarchitecture.
- Execute verification plans using system simulation models to identify bugs and analyze power and timing.
- Replicate, root cause, and debug issues in pre-silicon environments.
- Collaborate with GPU architects and RTL developers to enhance verification processes and meet performance goals.
- Maintain and optimize functional verification infrastructure and associated tools.
Requirements
- Bachelor's degree in Electronics, Computer Engineering, or related field with 6+ years of experience, or a Master's degree with 4+ years of experience.
- Experience in silicon design development, frontend validation methodologies, and simulation environment development.
- Strong technical proficiency in SystemVerilog, C/C++, and Python.
- Proficiency in functional and code coverage closures.
- Familiarity with IP validation tools, processes, and protocols.
Nice to have
- Experience with OVM/UVM-based test benches and formal verification tools.
- Deep knowledge of graphics architecture and microarchitectural features.
Culture & Benefits
- Competitive total compensation package including competitive pay and stock bonuses.
- Comprehensive benefit programs including health, retirement, and vacation.
- Hybrid work model allowing a split between on-site and off-site work.
- Opportunity to work on high-impact projects at the forefront of computing and AI.
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