Senior Systems Software Engineer, Accelerated Kubernetes Performance and Scale - DGX Cloud
Core
Scaling AI infrastructure on Kubernetes to minimize cost and enable large-scale AI workloads.
Role type
Senior Systems Software Engineer (Kubernetes/Accelerated Computing)
Builds
Production AI runtime stack for GPU clusters
Domain
AI Infrastructure / Distributed Systems
Deliverable
production ML models
Required skills
Kubernetes, distributed systems, performance optimization, Golang, Python, cloud platforms, containerization, AI workload scaling
Preferred skills
Open-source community contribution, ultra-large cluster scaling, confidential containers (CoCo), DSX simulation
Technologies
Kubernetes, GPU Operator, Network Operator, node-feature-discovery, topograph, dra-driver-nvidia-gpu, nvsentinel, Grove, gateway-api-inference-extension, DSX
Responsibilities
Lead end-to-end performance and scalability analysis across the Kubernetes-based accelerated runtime stack; Design and contribute upstream architectural changes to the Kubernetes control plane; Improve container startup and cold-start latency; Assess and improve open-source projects for AI workloads; Advance scalability of confidential containers; Use DSX for large-scale simulation; Collaborate on automated workload tests and monitoring tooling; Document methods and present findings at industry events.
Seniority
Senior, hands-on IC
