Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

NVIDIA's DGX Cloud organization is seeking a Senior Systems Software Engineer with deep experience in distributed systems, Kubernetes, and containers to scale AI infrastructure and optimize total cost of ownership for AI workloads.

• Drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack, from Kubernetes control and data planes through NVIDIA components such as GPU Operator, Network Operator, DCGM, NIM, and distributed inference serving.
• Collaborate with AI researchers, developers and customers to develop innovative, automated tests that simulate real user workloads.
• Deep dive into performance and scale issues in complex distributed systems, including interactions between Kubernetes and the NVIDIA software stack.
• Design and develop monitoring, reporting and analysis tools for performance and scale testing.
• Triage, debug and root cause issues related to operating Kubernetes clusters at ultra-large scale.
• Build and maintain a high-velocity framework for continuous performance and scale testing via a modern CI/CD pipeline.
• Document research, methodologies and results and present findings at internal and external venues.
• Engage with upstream communities including Kubernetes, CNCF and NVIDIA open-source projects.

• 8+ years of experience in Computer Architecture, Networking, Storage systems, Accelerators
• Bachelors/Masters in Engineering (preferably Electrical Engineering, Computer Engineering, or Computer Science) or equivalent experience
• Expertise in Kubernetes and familiarity with related CNCF projects
• Background in working with large scale parallel and distributed accelerator-based systems
• Expertise optimizing performance and AI workloads on large scale systems
• Experience with performance modeling and benchmarking at scale
• Proficiency in Golang/Python
• Background with the NVIDIA software ecosystem in both training and inference domains
• Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI)