NVIDIA_新加坡商輝達開發有限公司台灣分公司
Senior Developer Technology Engineer, GPU – Taipei
10/16 Updated
Array
Full-time
Entry-level
6 ~ 10 applicants

Salary & Location

Salary negotiable
(Regular monthly salary of NT$40,000 or above)
台北市內湖區

Required

Work Experience
不拘

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.
Number of Openings
1~1人
Educational Requirements
大學(學院)以上
Work Schedule
日班
Leave Policy
依公司規定

Job Skills

Software Programming
Machine Learning
軟體程式設計 Machine Learning
Job Category
Software Engineer
Algorithm Engineer
台北市內湖區
其他半導體相關業
About NVIDIA -- Career Site https://www.nvidia.com/en-us/about-nvidia/careers/ 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。
6 ~ 10 applicants