[2020 NCG 新鮮人預聘] Silicon Solution Engineer

NVIDIA

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Job Description

Job Content:

  • You will architect the infrastructure for product definition and specifications to help build and market the world’s fastest power-shipping products.
  • You will design models and tools to automate and optimize critical stages of the product life-cycle.
  • Emulate silicon and system level behavior and encapsulation of constantly evolving methodologies to help with product optimization.
  • You will be developing automation flows for data collection, test case execution, and results analysis.
  • You will model essential next-generation product features and work with multi-functional teams to drive them to production.
  • Find creative solutions to complex silicon and system level problems in order to enable product shipment.
  • We work alongside silicon solution engineers, system architects, product definition engineers, software/firmware engineers in a dynamic, high-energy work environment to bring industry-defining products to market.

Job Requirements:

  • Excellent problem solving, collaborative, and interpersonal skills. Experience working with offshore teams preferred.
  • Strong understanding of digital design, circuit analysis, algorithms, computer architecture, silicon speed and power, BIOS, drivers, and software applications.
  • Experience with scripting languages like Perl/Python, C/C++, databases, web applications.
  • Familiarity with computer algorithms and object oriented programming. Demonstrate ability to divide complex problems into simple sub problems and then reuse available solutions to implement the solutions.
  • Experience with product binning methods, optimization techniques, methods and tools for data analysis and statistics is a plus

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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