Senior Verification Engineer (Video)

NVIDIA

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Job Description

We are looking for Senior Verification Engineer (Video) at Shanghai.

What you will be doing:

• The Sr. verification engineer is responsible for end-to-end verification from IP to Tegra/GPU fullchip for video and computer vision engines.
• Besides the traditional ASIC verification, you will also get the opportunity of embracing High-level synthesis (HLS) verification methodology.

Requirements

What we need to see: • BS / MS in electrical / computer engineering and related: 3+ years MS or 5+ years BS. • Familiar with verification methodology, tools and flow. • Programming skills in System Verilog, Perl and C/C++. Ways to stand out from the crowd: • Fully experienced verification flow:◦Clearly know the typical milestones and the related verification action and release •Ability of using proper metrics to present and monitor verification status • Complex TB setup experience and skills below◦SVA, functional coverage group, random constraint, etc. • Experience of UVM and System C is big plus. • Experience on video codec and image processing projects. • Excellent script skill of Perl, Python or shell. • Knowledge of Makefile and tree infrastructure. • Experience of formal verification. • Fluent English (both written and spoken) and excellent communication skills • Demonstrated ability to work independently as well as in a multi-disciplinary group environment NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Salary

40K+ TWD/month

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NVIDIA

台北市內湖區基湖路8號

About us

NVIDIA 以其革命性產品 GPU 為核心,協助全球開發者與研究人員進行人工智慧、機器學習與視覺運算的創新與應用,深耕電競、專業視覺化、資料中心與自駕車四大領域,除了硬體上的支持,NVIDIA 也針對各項重點市場提供軟體、作業平台與開發者套件,同時舉辦包含GPU技術大會與深度學習實作坊在內的教育訓練與講座,持續開發新技術並拓展相關市場。 NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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