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高级全栈软件工程师,存储管理平台 - DGX云

雇主

NVIDIA

地点

Santa Clara · 美国

待遇

$面议

工作模式

线下

截止日期

1月6日

福利
benefits package,

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岗位摘要

Senior Full-Stack Software Engineer for storage management platform, developing Kubernetes operators

岗位职责

We are looking for a Senior Software Engineer to become part of our storage management plane team.
The management plane is a web-based application crafted to provide our storage customers the capabilities to handle and supervise our distributed storage infrastructure.
Our team is continually dedicated to acquiring and implementing ground breaking technologies to overcome obstacles and innovate solutions for improving our ability to handle large clusters of machines efficiently.
What You Will Be Doing:
• Maintain and develop Kubernetes operators and our Container Storage Interface (CSI) plugin.
• Develop a web-based solution that manages, operates and monitors our distributed storage.
• Work closely with other teams to define and implement new APIs.
What We Need to See:
• B.Sc., M.Sc.
or Ph.D. in Computer Science, or related discipline, or equivalent experience.
• 8
years of experience in web development (both client and server) • Proven experience with Kubernetes (K8s), including developing or maintaining operators and/or CSI plugins.
• Experience scripting with Python, Bash or similar.
Experience with nodejs is a must • At least 5 years of experience working in a Linux OS environment • You’re smart and a quick learner • You do what it takes to get the job done • Passionate about coding and big challenges Ways to stand out from the crowd:
• NodeJS for the server side: dominant modules are async & express.
Kafka, MongoDB, K8s • JavaScript frameworks: React, jQuery, c3j • HTML5, CSS3, Bootstrap and Websockets;
Scripting (Python and Bash) as well as Git and Linux
NVIDIA has continuously reinvented itself over two decades.
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.
This is our life’s work — to amplify human imagination and intelligence.
With highly competitive salaries and a comprehensive benefits package,
NVIDIA is widely considered to be one of the technology world’s most desirable employers.
We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast.
If you're a creative and autonomous manager with a sincere real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

申请条件

B.Sc., M.Sc.
or Ph.D.
in Computer Science, or related discipline, or equivalent experience.
8+ years of experience in web development (both client and server).
Proven experience with Kubernetes (K8s), including developing or maintaining operators and/or CSI plugins.

雇主简介

NVIDIA is a technology company that designs GPUs and system-on-chip units for gaming, professional visualization, data centers, and automotive markets. The Physics Simulation Team focuses on physics simulation for robotics learning and evaluation.

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