AI Infrastructure Engineer (GPU & Kubernetes Platform)

St. Louis, MO, US • Posted 4 hours ago • Updated 4 hours ago
Part Time
No Travel Required
On-site
$90 - $100/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • NVIDIA
  • CUDA
  • Kubernetes
  • Infrastructure

Summary

Duration: 160 Hours

Location: St. Louis MO

 

Role Overview
Highly skilled AI Infrastructure Engineer to design, build, and operate scalable GPU-enabled Kubernetes platforms for AI/ML workloads. 
Must have skills: Kubernetes, Linux, Terraform, GPUs and NVIDIA stack

- Strong Kubernetes knowledge 
- Experience with GPUs and NVIDIA stack 
- Linux (Ubuntu) expertise 
- Experience with Terraform 
Preferred Qualifications 
- Longhorn or Ceph experience 
- Canonical ecosystem (MAAS, Juju) 
- AI/ML tools like Kubeflow 
- Certifications (CKA, NVIDIA) 
•  Ensure smooth handoff of production systems with full operational readiness and support knowledge

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91120139
  • Position Id: Biz700660
  • Posted 4 hours ago
Contact the job poster
RL

Ron Levin

Recruiter @ Info Junction LLC
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