The NVIDIA Networking Advanced Development Software group builds groundbreaking technologies that open new markets and deepen customer relationships. We focus on emerging areas in networking, distributed computing, AI, and cloud infrastructure for next-generation data centers and AI factories. Our teams develop innovative software platforms spanning application software, distributed systems, networking, and infrastructure while collaborating closely with partners, customers, and open-source communities.
As part of the group, you will work with multiple development teams, owning and evolving the engineering infrastructure that enables advanced software development, validation, and continuous integration.
What you'll be doing:
- Own and maintain the development lab infrastructure, ensuring reliable and efficient operation
- Manage Kubernetes-based development and testing environments
- Develop and maintain CI/CD pipelines and infrastructure automation
- Work with IT and infrastructure teams to provision compute, networking, and storage resources based on engineering requirements
- Develop reusable automation “skills” and tooling for the internal engineering platform, enabling self-service provisioning of development environments, test setups, and infrastructure configurations (e.g., NIC type, compute, storage)
- Develop Python and Bash automation and system validation tests to improve engineering productivity
- Troubleshoot Linux, Kubernetes, networking, and infrastructure issues across the software stack
- Create and maintain documentation, operational procedures, and engineering best practices
What we need to see:
- B.Sc. in Computer Science, Computer Engineering, or a related field
- Strong hands-on experience with Linux, Kubernetes, and modern CI/CD platforms
- Strong Python and Bash scripting skills for automation, tooling, and system validation
- Strong troubleshooting and problem-solving abilities
- A teammate with a can-do attitude, high energy, and excellent interpersonal skills
Ways to stand out from the crowd:
- Familiarity with regression frameworks, automated testing workflows, and CI/CD best practices
- Experience with modern CI/CD platforms such as Jenkins, GitHub Actions, GitLab CI, Buildkite, or similar technologies
- Familiarity with Helm, Kubernetes operators, and cluster management
- Proactive, creative, and highly collaborative mindset with strong ownership of infrastructure quality and engineering productivity
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is 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.
Skills Required
- B.Sc. in Computer Science, Computer Engineering, or a related field
- Strong hands-on experience with Linux, Kubernetes, and modern CI/CD platforms
- Strong Python scripting skills for automation and system validation
- Strong Bash scripting skills for automation and tooling
- Strong troubleshooting and problem-solving abilities for Linux, Kubernetes, networking, and infra
- Excellent interpersonal skills, collaborative team player with a can-do attitude
- Familiarity with regression frameworks, automated testing workflows, and CI/CD best practices
- Experience with Jenkins, GitHub Actions, GitLab CI, Buildkite or similar CI/CD platforms
- Familiarity with Helm, Kubernetes operators, and cluster management
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
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, NVIDIA is increasingly known as “the AI computing company.”
