Senior Verification Engineer (ISP)

NVIDIA

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Job Description

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

What you'll be doing

  • You will participate in the research of verification methodology to improve automation and productivity to produce NVIDIA's new high-quality state of the art products.
  • Read IAS and design specs to understand the design requirement and build corresponding testplan. Review the testplan with arch/design engineers.
  • You responses to build block/IP testbench based on UVM methodology.
    The responsibilities includes building test run and regression flow. Triage failures in regression and help designer root cause the bug.
  • Work includes Build various metrics (passing rate, functional coverage, etc) and monitor its health.
  • Take SOC verification on fullchip test environment for IPs
  • Analyze functional/code coverage result and identify the coverage holes. Work with design engineer to improve the coverage score.
  • Deploy the advanced verification methodology and infrastructure of the SOC/IP

What we need to see:

  • BS / MS in electrical / computer engineering and related.
  • 3+ years (MS) or 5+ years (BS) working experience.
  • Familiar with advance verification methodology (UVM, VMM, OVM, etc), tools and flow
  • Fully experienced verification flow, including testplan, test, coverage model, testbench, BFM modeling.
  • Deep understanding in Verilog and HVL (High-level Verification Language)

Ways to stand out from the crowd:

  • Strong programming skills in Perl and C/C++is plus
  • Having good arch/design experience is big plus.
  • At least good at one of the script programing lanange : Perl, Shell, Ruby, Python, etc.
  • Fluent English (both written and spoken) and excellent communication skills
  • Proven ability to work independently as well as in a multi-disciplinary group environment
  • Strong analytical skills

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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