NVIDIA_新加坡商輝達開發有限公司台灣分公司
Enterprise Software Test Development Engineer - Taipei
10/16 Updated
Array
Full-time
Entry-level
English Required
0 ~ 5 applicants

Salary & Location

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

Required

Language Requirements
English
聽/中等、說/中等、讀/中等、寫/中等
Work Experience
不拘

Job Description

NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering Deep Learning software frameworks, analytics, data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and hard-working technical people across countries sounds exciting, this job is for you.
NVIDIA is looking for an outstanding individual who thrives in a diverse work environment, has outstanding interpersonal skills and possesses a strong sense of engagement and continuous process improvement. This candidate must have enterprise system integration, strong OS/FW experience, reliability testing with various telemetries, scale out cluster, test plan development, CI/CD and DevOps experience to join our Enterprise Server QA team.
What you’ll be doing:
Responsible for the development and execution of NVIDIA HGX/DGX platform test plan on OS, FW and CUDA SW stack from design doc.
Installing and testing various systems OS, system firmware and SW stack.
Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation.
Build, develop/debug automation front-end and back-end framework and tests
Review partner and supplier test results and prescribe additional reliability testing on components, systems, and packaging as needed.
Work in an agile software development team with very high production quality standards.
Manage bug lifecycle and collaborate with inter-groups to drive for solutions.
What we need to see:
Bachelor’s Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field with 6+ years proven experience; or Master’s Degree with 3+ years of meaningful work experience
Proven years of automation experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript
Strong OS (Ubuntu, RedHat, CentOS, SuSE, Fedora, Windows, etc.) trouble-shooting and debugging experience in a bare-metal and KVM/VMWare environment.
Ability to write test plans focusing on functional, performance, stress and negative testing.
Experience in developing CI/CD automation processes and DevOps contribution with a real passion for automation and Good teamwork with ability to work independently.
Strong experience in FW, BMC/OpenBMC, SBIOS, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus
Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker – huge plus
Ways to stand out from the crowd:
Experience working with NVIDIA GPU hardware is a strong plus.
Have implemented error handling for x86 based servers, online and offline health monitoring tools.
Experience of developing x86/ARM based environment
Background in parallel programming ideally CUDA/OpenCL is a plus
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Number of Openings
8~8人
Educational Requirements
大學(學院)以上
Work Schedule
日班
Leave Policy
週休二日
Job Category
Software 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。
0 ~ 5 applicants