Software and DevOps Student

Join NVIDIA, a pioneer in technological innovation, where you will engage with a team that is reshaping the future of computing. As a Software and DevOps student, you will contribute alongside world-class engineers to develop groundbreaking solutions that affect our internal cloud scheduler and infrastructure management platform. This position offers a mix of software development and infrastructure responsibilities, presenting an outstanding chance for those wanting to sharpen their skills in both domains.

What you'll be doing:

• Building and supporting Python microservices that power our internal cloud scheduler and infrastructure management platform.
• Building software solutions for prioritisation, workload scheduling, infrastructure automation, and integrations with internal services.
• Crafting and maintaining Linux-based automation solutions for server provisioning, validation environments, and operational tooling.
• Working with brand new cloud and virtualization technologies including Docker, Kubernetes, and virtualized infrastructure environments.
• Participating in CI/CD workflows, automated testing, debugging, and deployment of software and infrastructure services.
• Collaborating with software developers, verification engineers, cloud engineers, and hardware teams to deliver scalable infrastructure solutions.

What we need to see:

• Currently pursuing a B.Sc. or an M.Sc. in Computer Science, Computer Engineering, Software Engineering, or a related field.
• Strong Python programming skills and understanding of software engineering fundamentals.
• Familiarity with Linux environments, scripting, and troubleshooting.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication skills and ability to work effectively in a team environment.

Ways to stand out from the crowd:

• Proven experience at managing, administrating and developing large scale, complex computing environments.
• Experience developing backend services, APIs, or microservice-based applications using Python.
• Familiarity with Docker, Kubernetes, CI/CD pipelines, or cloud-native technologies.
• Knowledge of Linux system administration, infrastructure automation, or DevOps practices.
• Experience with databases, distributed systems, or scheduling/resource management platforms.