Senior Software Engineer, Kubernetes and Virtualization - DGX Cloud at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Cloud Computing, AIIndustries

Requirements

  • 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
  • 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

Responsibilities

  • 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

Skills

Key technologies and capabilities for this role

KubernetesCSIKubernetes operatorsPythonBashLinuxNodeJSExpressasyncReactjQueryHTML5CSS3BootstrapWebsocketsKafkaMongoDBGit

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5, determined based on location, experience, and pay for similar positions. Candidates are also eligible for equity and benefits.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills are required for this Senior Software Engineer role?

Required skills include 8+ years of web development experience (client and server), proven Kubernetes experience with operators or CSI plugins, Python/Bash scripting, and 5+ years in Linux OS. A degree in Computer Science or equivalent is also needed.

What is the company culture like at NVIDIA?

NVIDIA fosters a diverse work environment, employs brilliant and talented people, and features fast-growing elite engineering teams. They value creative, autonomous individuals passionate about technology.

What makes a candidate stand out for this role?

Stand out with experience in NodeJS (async & express), Kafka, MongoDB, K8s, JavaScript frameworks like React, jQuery, c3j, HTML5, CSS3, Bootstrap, Websockets, plus scripting in Python/Bash, Git, and Linux.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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