Senior Software Engineer - BaseOS
At a glance
Highlights
- AI computing company
- Remote-first infrastructure role
- Competitive salary and equity
- Open-source Linux distribution
- Cutting-edge CI/CD automation
Why this role might suit you
Design and maintain CI/CD pipelines for NVIDIA's AI computing platforms, leveraging Go, Python, Terraform, and Kubevirt while contributing to an open-source Linux distribution used in data-analytics and AI workloads.
Skills
About the role
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.
Applications for this job will be accepted at least until May 26, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Compensation
This Marketing role pays $152k-$242k/yr. Within typical range for marketing roles in United States.
Questions about this role
How do I apply to this Senior Software Engineer - BaseOS role at NVIDIA?
Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.
What's the typical salary for Marketing in United States?
Compensation for Marketing roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Marketing hub for United States medians across recent openings.
How fast does AI Applyd auto-apply?
Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.
What ATS does NVIDIA use?
AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.
Want AI Applyd to auto-apply to roles like this?
We tailor your resume per posting, fill the forms, and track replies for you.