Full Job Description
As a Senior Software Engineer, you will help drive the automation, design, and operation of the Linux platform that powers the physical Linux client experience all the way up to our large scale AI agent compute platform. You will support Linux environments across physical systems, virtual machines, and public cloud infrastructure while improving their scalability, reliability, and security. This role is ideal for someone who enjoys automating infrastructure, solving challenging Linux problems, and building secure and reliable platforms for next-generation agentic services!
What you will be doing:
- Leading Linux and cloud infrastructure initiatives, including architecture, provisioning, configuration, deployment, and ongoing operations.
- Building automation using shell scripting, configuration management, and infrastructure-as-code tools.
- Developing and maintaining automated workflows for Linux provisioning, patching, configuration, security hardening, and lifecycle management.
- Deploying and operating cloud infrastructure and integrating cloud services with on-premises environments.
- Collaborating with engineering teams across NVIDIA to deliver infrastructure capabilities that support meaningful business outcomes.
- Continuously improving the reliability, security, maintainability, and operational standards of our platform.
What we need to see:
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field-or equivalent experience.
- 8+ years of experience in Linux systems, infrastructure, platform, site reliability, or cloud engineering.
- Deep hands-on experience administering, securing, and optimizing Linux environments.
- Proven cloud architecture and engineering experience in AWS or Azure.
- Strong shell scripting and automation skills, including a configuration management platform such as Chef or Ansible.
- Experience using Terraform to provision infrastructure.
- Experience with AI-native development and coding agents to multiply developer productivity.
- Strong communication skills and a collaborative, team-oriented approach.
Ways to stand out from the crowd:
- Expertise in Go or Python
- Experience using GitLab CI/CD or GitHub Actions to automate deployments.
- Experience designing and operating hybrid-cloud or multi-cloud Linux environments.
- Experience with container runtimes, Kubernetes, immutable infrastructure, or automated operating-system image pipelines.
- Excited to contribute to a high-trust, collaborative culture while bringing a unique perspective to the team!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 28, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.