NVIDIA is seeking experienced software engineers with Kubernetes expertise to scale their AI Infrastructure. This role is part of the DGX Cloud team, focusing on production systems that enable large scalable GPU clusters for AI workloads. As a Senior Software Engineer, you'll be at the forefront of developing custom software for GPU resource scheduling on Kubernetes and implementing critical monitoring and health management capabilities.
The position offers an opportunity to work with cutting-edge technology at a company that pioneered visual computing and GPU technology. You'll be joining a team that's directly impacting the future of AI computing, working on systems that power a broad range of AI-based applications. The role combines deep technical expertise in Kubernetes and distributed systems with the excitement of working on industry-leading GPU technology.
The ideal candidate will bring 5+ years of experience in similar roles, strong software engineering principles, and expertise in Kubernetes APIs and frameworks. You'll be working in a collaborative environment, coordinating across organizational boundaries and geographies. The position offers competitive compensation ($148,000 - $339,250) plus equity, and the opportunity to work at one of technology's most desirable employers.
This is an excellent opportunity for someone passionate about Kubernetes, GPUs, and large-scale distributed systems who wants to make a significant impact in the AI computing space. You'll be part of a team that's pushing the boundaries of what's possible in AI infrastructure, working with some of the most forward-thinking professionals in the industry.