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. Join us at the forefront of technological advancement.
NVIDIA BaseOS is the Linux distribution for NVIDIA GPU-based platforms deployed in AI and Data-Analytics industries. As a Senior Infrastructure Engineer, you'll design and build robust CI/CD pipelines, champion automation initiatives, and develop comprehensive testing frameworks. Working closely with System and Software development teams, you'll drive end-to-end automation for all developer and release workflows.
What You'll Be Doing:
Design, implement, and maintain CI/CD pipelines for building OS images across Ubuntu and RHEL distributions
Build unit testing and integration testing frameworks using Go and Python
Optimize CI/CD infrastructure using Jenkins and GitlabCI
Implement infrastructure as code with Terraform and work with Kubevirt for virtualized workloads
Create and maintain Ubuntu and RHEL packaging solutions (deb/rpm)
Identify infrastructure improvements and implement metrics gathering systems for KPIs and dashboards
Champion automation initiatives to achieve 100% end-to-end automation across developer and release workflows
What We Need to See:
5+ years of software engineering experience focused on infrastructure and platform systems
Expert-level proficiency in Go and Python
Strong experience with Jenkins, GitlabCI, and Terraform
Hands-on experience with Kubevirt and Ubuntu/RHEL packaging (deb/rpm)
Proven unit testing strategies and framework development experience
Expertise in KPI Infrastructure for metrics identification, gathering, and dashboards
Experience using AI tools such as Cursor/Claude
Bachelor's degree in Computer Science, Engineering, or equivalent experience
Ways to Stand Out From the Crowd:
Functional testing and end-to-end test automation experience
Contributions to open-source infrastructure or Linux distribution projects
Experience with container orchestration and cloud-native technologies
If you're excited about building world-class infrastructure and automation systems that power NVIDIA's AI platforms, we'd love 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.Skills Required
- 5+ years of software engineering experience focused on infrastructure and platform systems
- Expert-level proficiency in Go and Python
- Strong experience with Jenkins, GitlabCI, and Terraform
- Hands-on experience with Kubevirt and Ubuntu/RHEL packaging (deb/rpm)
- Proven unit testing strategies and framework development experience
- Expertise in KPI Infrastructure for metrics identification, gathering, and dashboards
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
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.”
