Developer Technology Engineer, GPU

Updated 5 days ago

Job Description

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, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?

We are now looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team.

What you’ll be doing:

  • Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.
  • Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.
  • Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.

What we need to see:

  • A good degree from a leading university or equivalent experience in an engineering or computer science related discipline (MS or PhD preferred).
  • Experience with parallel programming, ideally CUDA, OpenCL and OpenACC.
  • Confident knowledge of C/C++ and/or Fortran.
  • Solid knowledge of software design, programming techniques, and algorithms.
  • Strong mathematical fundamentals, including linear algebra and numerical methods.
  • Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
  • Knowledge in a specific domain is a plus, such as Deep Learning, Machine Learning, Atmospheric Science, Optics and Photonics.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people on the planet working with us and our engineering teams are expanding fast. If you're a creative and autonomous computer scientist with a genuine passion for parallel computing, we want to hear from you.

1
Regular earnings reach NT$40,000
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About us

NVIDIA 技術涵蓋視覺運算的所有層面,從基礎發明到結合 GPU 的處理器,再到系統元件,乃至完全整合系統。我們將目標放在三大垂直市場: 遊戲、專業視覺化與設計,以及高效能運算與巨量資料分析。我們針對每一垂直市場提供處理器、軟體、工具、行銷和專業知識的平台,另外更逐漸增加提供連線服務。此外也銷售元件,並授權 IP 給希冀以豐富繪圖能力打造差異化裝置的各大 OEM,充分發揮我們針對這些市場所做的創新。

身為視覺運算的全球領導者,我們招募此領域中的最佳頭腦,藉由他們的創造力推動產業向前進,成為我們的驅動力。

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics and ignited the era of modern AI. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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