NVIDIA is looking for a talented DevOps Student to join the Data Processing Unit (DPU) SW Group. As a part of the team, you will lead complicated integrations which combining new technologies, automating processes, bringing up full software stacks, developing system scripts for cutting edge networking technologies with the quality requirements of industry-leading customers. You will work closely with NVIDIA's SDK development and gain an understanding of NVIDIA's products and technologies.What you’ll be doing:Developing DevOps tools using various NVIDIA proprietary and other cutting-edge technologies to help build better CI/CD workflows.Crafting efficiency and usability improvements across NVIDIA proprietary products that will help streamline various release pipelines and processes across NVIDIA.Definition and development of SDKs to be used for DPU SW development.Creating and maintaining build system for complex SW products.Collaborate with team members, Architects, design, QA teams, and verification.What we need to see:Student for a B.Sc. in Computer Science or SW/Computer Engineering. Preferably after the 4th semester.Motivated, responsive, and keen on process improvement.Programming skills in Python.Analytical, debugging, and problem-solving skills.Ways to stand out from the crowd:Knowledge with Linux and Networking.Contribution to open-source projects.Knowledge with Docker, Ansible, Jenkins pipelines.Strong interest towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams.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.
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