Senior Software Engineer - BaseOS

at Nvidia

📍 Santa Clara, United States

USD 152,000-287,500 per year

SENIOR

✅ On-site

Used Tools & Technologies

IaC

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Software Development @ 4 Go @ 4 Jenkins @ 4 Linux @ 4 Terraform @ 4 Python @ 4 CI/CD @ 4 GPU @ 4 AI @ 4

Details

NVIDIA BaseOS is the Linux distribution for NVIDIA GPU-based platforms deployed in AI and Data-Analytics industries. As a Senior Infrastructure Engineer, you will design and build robust CI/CD pipelines, champion automation initiatives, and develop comprehensive testing frameworks. Working closely with Systems and Software development teams, you will drive end-to-end automation for developer and release workflows.

Responsibilities

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 GitLab CI
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

Requirements

5+ years of software engineering experience focused on infrastructure and platform systems
Expert-level proficiency in Go and Python
Strong experience with Jenkins, GitLab CI, 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 and Claude
Bachelor's degree in Computer Science, Engineering, or equivalent experience

Ways to Stand Out

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

Compensation and Other Details

Base salary range (Level 3): 152,000 USD - 241,500 USD per year
Base salary range (Level 4): 184,000 USD - 287,500 USD per year
You will also be eligible for equity and benefits. Applications accepted at least until May 26, 2026.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.