NVIDIA is looking for an outstanding engineer to join the Networking Software Cross DevOps team. The position is part of a team that supports sophisticated systems and integrations, maintains proprietary, open source and in-house tools, with the strive to improve development workflows and overall efficiency. NVIDIA is one of a kind company, crafting the future of computing and challenging the existing conventions. With your help we would forge the next generation of compute infrastructure multiplying the power of the CPU, GPU and DPU with the groundbreaking networking technology for the age of AI.
What you’ll be doing:
Develop DevOps tools using NVIDIA, proprietary and open source technologies to help build better CI/CD workflows across NVIDIA.
Craft efficiency and usability improvements across NVIDIA product development environments to streamline release pipelines and processes across the company.
Be in the critical path of supporting hundreds of developers as well as intimately understanding the values of predictability, automation and reliability.
Design and build sophisticated automations and AI powered applications.
What we need to see:
Bachelor's/Master’s degree in computer science or computer engineering or equivalent program
5+ years of proven experience
Expert development ability in at least one scripting language (e.g. Python, Groovy or similar)
Profound understanding of the Linux operating system.
Deep understanding of containerization and cloud technologies architecture.
Outstanding problem-solving and critical thinking abilities.
Ability to self-manage, lead technically, and communicate effectively.
Ways to stand out from the crowd:
Expertise in version control systems (e.g. Git, GitLab, GitHub, Gerrit)
Expertise with Jenkins or similar.
Strong interests towards groundbreaking technologies
Ability to take initiatives and drive them across multiple functional teams.
Familiarity with CSPs infrastructure and tooling.
NVIDIA is 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. If you're creative and autonomous, we want to hear from you!
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
