Senior DevOps Engineer

Our team is looking for a Senior DevOps Engineer to join us and take ownership of the CI/CD infrastructure, automation pipelines, and development tooling that power our engineering teams. This position plays a key role in enabling fast, reliable, and scalable software delivery — from code commit to test execution and reporting. You will be the go-to expert for DevOps practices, collaborating closely with software engineers, validation teams, and infrastructure stakeholders across the organization.

What You'll Be Doing

Design, implement, and maintain CI/CD pipelines for software and validation projects, ensuring fast, stable, and automated delivery workflows

Own and evolve the DevOps infrastructure — including build systems, artifact management, deployment automation, and environment provisioning

Develop and maintain automation tools, scripts, and integrations that streamline developer workflows and reduce manual overhead

Collaborate with validation, infrastructure, and software engineering teams to define and enforce DevOps best practices across the organization

Monitor system health, pipeline reliability, and build performance; identify bottlenecks and continuously improve observability and stability

Manage containerization and orchestration solutions (Docker, Kubernetes) for test environments and internal services

Support the integration of automated testing frameworks into CI/CD flows, ensuring test coverage and results are tracked and visible

Evaluate and introduce new DevOps tooling and methodologies to keep the team at the forefront of engineering efficiency

What We Need to See

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

8+ years of hands-on experience in DevOps, platform engineering, or software infrastructure roles

Strong proficiency in CI/CD tools with hands-on experience in GitLab CI/CD pipelines; familiarity with Jenkins, GitHub Actions, or equivalent is a plus

Experience with containerization and orchestration — Docker, Kubernetes

Solid scripting and automation skills — Python, Bash, and/or similar

Familiarity with infrastructure-as-code tools (Terraform, Ansible, or similar)

Deep familiarity with Linux environments and system administration

Experience with version control systems (Git) and branching strategies

Strong debugging, problem-solving, and root-cause analysis skills

Ways to Stand Out from the Crowd

Experience building and scaling DevOps infrastructure for hardware validation or embedded systems environments

Background working with test execution frameworks and integrating them into CI/CD pipelines

Experience with monitoring and observability tools (Prometheus, Grafana, ELK Stack, or similar)

Knowledge of cloud platforms (AWS, GCP, Azure) or on-premise HPC environments

Experience integrating AI/ML workflows and AI agent pipelines into CI/CD flows, including model versioning, automated testing, and deployment automation for AI-driven systems

NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are 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.