Senior Software Engineer - DGX Cloud

Experteer Overview In this role you will help build and operate a Kubernetes-based AI infrastructure platform for GPU-accelerated workloads. You will work with a small, cross-functional team to simplify deployment, monitoring, and lifecycle management of Kubernetes clusters for GPUs and DPUs. You will contribute to Cloud Native initiatives and ensure seamless integration across NVIDIA engineering teams. You will automate build, test, and release processes to accelerate AI Factory-scale deployments while prioritizing reliability, security, and efficiency. This is a hands-on, end-to-end engineering role at the heart of NVIDIA’s DGX Cloud platform, offering a chance to shape scalable AI infrastructure. Compensation / Benefits * Design and develop software to manage a fleet of Kubernetes clusters for GPUs/DPUs * Contribute to core Cloud Native technologies and NVIDIA accelerators in Kubernetes * Collaborate with multiple engineering teams to ensure seamless software integration * Automate and optimize build, test, integration, and release pipelines for cloud-native apps * Multitask across projects with evolving priorities and fast-paced delivery Tasks * 10+ years of experience in large-scale environments * Expert-level knowledge in Go and C with solid data structures and algorithms * Strong Kubernetes and container technology expertise * In-depth knowledge of Unix/Linux kernel internals * Hands-on automation experience with modern infrastructure tools * Experience with setting up and automating continuous deployment systems * Strong background in cloud computing and distributed software design * Understanding of performance, security, and reliability in distributed systems Key requirements * equity * comprehensive benefits package * remote work options * competitive salaries * career growth opportunities * inclusive work environment

for and optimize build, test, integration, and release pipelines for cloud-native apps * Multitask across projects with evolving priorities and fast-paced delivery Tasks * 10+ years of experience in large-scale environments * Expert-level knowledge in Go and C with solid data structures and algorithms * Strong Kubernetes and container technology expertise * In-depth knowledge of Unix/Linux kernel internals * Hands-on automation experience with modern infrastructure tools * Experience with setting up and automating continuous deployment systems * Strong background in cloud computing and distributed software design * Understanding of performance, security, and reliability in distributed systems Key requirements * equity * comprehensive benefits package * remote work options * competitive salaries * career growth opportunities * inclusive work environment