Remote AI Infrastructure & HPC Engineer

Kforce Inc

Austin (TX)

On-site

USD 175,000 - 200,000

Full time

5 days ago
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Benefits offered by this job

401(k)
Medical, dental, vision behavior

Job summary

Kforce Inc. is seeking a Machine Learning & AI Infrastructure Engineer in a 100% remote role within the United States. The role blends HPC administration, Kubernetes operations, and AI infrastructure support to run production-grade AI and HPC environments.

You will manage large-scale compute resources, automate workflows, and partner with engineering teams to optimize platforms. Ideal candidates will have hands-on Linux (Ubuntu), Bash/Python scripting, and strong troubleshooting abilities across

Qualifications

  • Strong experience administering HPC environments.
  • Hands-on Kubernetes administration in on-prem environments.
  • Experience with AI cluster administration and infra operations.

Responsibilities

  • Administer and support AI and HPC cluster environments.
  • Operate day-to-day compute infrastructure at scale.
  • Deploy, maintain, and troubleshoot Kubernetes-based platforms.
  • Ensure reliability, performance and scalability of compute, storage, and networking.
  • Support AI model training and inference infrastructure.
  • Automate operations with scripting and tooling.
  • Collaborate with engineering and customers to optimize platform.
  • Troubleshoot complex infra, networking, storage, and containers.

Skills

HPC administration
Kubernetes administration
AI infrastructure
Linux administration
Bash scripting
Python scripting
Troubleshooting

Tools

NVIDIA BCM
Bright Cluster Manager
MLOps platforms
Kubernetes CSI

Job description

Kforce Inc. is seeking a Machine Learning & AI Infrastructure Engineer in a 100% remote role within the United States. The role blends HPC administration, Kubernetes operations, and AI infrastructure support to run production-grade AI and HPC environments.

You will manage large-scale compute resources, automate workflows, and partner with engineering teams to optimize platforms. Ideal candidates will have hands-on Linux (Ubuntu), Bash/Python scripting, and strong troubleshooting abilities across

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