Senior Kubernetes Engineer for GPU HPC Platform

NMC2; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading technology company in Dallas is searching for a Senior Kubernetes Engineer to design and manage GPU-accelerated container platforms. The ideal candidate will have extensive Kubernetes experience, expertise in NVIDIA technologies, and a strong background in Go or Python. Responsibilities include maintaining Kubernetes clusters, developing operators, and optimising GPU workloads for AI/ML and HPC applications. This role offers a unique opportunity to drive technological advancements and innovation in high-performance computing.

Qualifications

• Extensive experience with Kubernetes in production-grade environments.
• Proficiency in Go or Python for operator development.
• Deep understanding of Kubernetes internals and custom controllers.

Responsibilities

• Architecting and operating Kubernetes clusters for GPU workloads.
• Developing and maintaining custom Kubernetes operators.
• Optimising GPU utilisation and job placement.

Skills

Extensive experience with Kubernetes

Proficiency in Go or Python

Deep understanding of Kubernetes internals

Experience with GPU-intensive workloads

Hands-on experience with Helm

Familiarity with CNI plugins

Experience with monitoring GPU metrics

Tools

Kubernetes

NVIDIA GPU Operator

Helm

Terraform

Job description

A leading technology company in Dallas is searching for a Senior Kubernetes Engineer to design and manage GPU-accelerated container platforms. The ideal candidate will have extensive Kubernetes experience, expertise in NVIDIA technologies, and a strong background in Go or Python. Responsibilities include maintaining Kubernetes clusters, developing operators, and optimising GPU workloads for AI/ML and HPC applications. This role offers a unique opportunity to drive technological advancements and innovation in high-performance computing.