NVIDIA is widely considered to be one of the technology world's most desirable employers, NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing (HPC) and Visualization. DGX Cloud provides a serverless generative AI infrastructure to the world enabling NVIDIA's AI supercomputer technologies to be used by anyone. DGX Cloud engineering has a mission to ensure our customers receive timely and quality-assured releases. We are seeking a DevOps Engineer proficient in development infrastructure and tools, with hands-on experience in continuous integration, continuous deployment, testing frameworks, and Kubernetes (K8s) based cluster automation technologies. If you excel in problem-solving, can think creatively on your feet, and enjoy working in a distributed team setting, we would love to have you join us!
What you'll be doing:- Provide both development and operational tooling critical to DGX Cloud services
- Implement and operate services used by engineering, including first-level on-call / support
- Assist engineering by maintaining a well optimized & supported paved road SDLC, which includes working across engineering, testing and SRE to ensure tool alignment
- Ensure coverage of testing from unit testing to CI to smoke-testing to full end to end testing
- Provide developer environments that are easily updated with a low barrier to entry
- Develop and maintain continuous integration pipeline templates and testing frameworks
- Provide and operate continuous testing end-to-end integration environments
- Automate deployment, config, and management of Kubernetes (K8s) components
What we need to see:- Bachelor's or Master's degree in Computer Science, Data Science, or a related field (or equivalent experience)
- 5+ years of experience in developing devops tooling with a profound passion for automation
- Solid background in modern source control platforms (GitHub/GitLab)
- Strong experience in modern CI/CD technologies (Gitlab/testing frameworks/ArgoCD)
- Proficient in container-based infrastructure (Docker, Kubernetes, Helm)
- Comprehensive experience with Linux distributions (Ubuntu)
- Solid background in scripting languages (Bash, Python)
- Working background in higher level languages (golang)
- Excellent written and verbal communication skills
Ways to stand out from the crowd:- Experience in scaling devops practices across cross-functional teams
- Demonstrated ability to handle sophisticated technical environments while meeting or exceeding all security, reliability, scalability, and availability metrics
- Strong and confirmed knowledge of modern architectures at scale
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want 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 - 218,500 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 January 13, 2026.
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.
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