Hybrid in Irving, Texas
•
Today
In this role, you will design, implement, and optimise GPU-accelerated container platforms at scale, enabling high-performance workloads (AI/ML, HPC, LLM training) across hybrid or on-prem environments. You will have deep expertise with both NVIDIA and Kubernetes ecosystems, including GPU scheduling, device plugins and custom operators. Responsibilities Architecting and operating Kubernetes clusters optimised for GPU workloads, leveraging NVIDIA GPU Operator, Network Operator and DCGM Developing
Easy Apply
Full-time
200000 - 225000









