AI Infrastructure Engineer — GPU, Kubernetes & Automation

MARS-TECHNOMINDS, INC; Town of Florida (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology company is seeking an AI Infrastructure Engineer to join their team. This position involves hands-on work with NVIDIA AI infrastructure and supporting GPU-based compute systems. The ideal candidate will possess a Bachelor's degree in computer science or a related field, with 8-10 years of relevant experience. Responsibilities include deploying AI workloads, monitoring systems, and automating infrastructure operations. Experience in the securities or financial services industry is preferred.

Qualifications

• 8-10 years of related experience required.
• Experience in the securities or financial services industry is a plus.

Responsibilities

• Support GPU-based compute and high-performance storage systems for ML/AI.
• Maintain and troubleshoot containerized AI workloads.
• Monitor health and performance of AI platforms.
• Automate operations using Python, Bash, and Terraform or Ansible.
• Integrate workflows into CI/CD systems.

Skills

Hands-on with NVIDIA AI infrastructure

Container orchestration using Kubernetes

Monitoring and troubleshooting AI workloads

Python automation

Bash scripting

Terraform or Ansible

Education

Bachelor's degree in computer science or related discipline

Advanced degree preferred

Tools

Kubernetes

Docker

Run:AI

NVIDIA BCM

Job description

A leading technology company is seeking an AI Infrastructure Engineer to join their team. This position involves hands-on work with NVIDIA AI infrastructure and supporting GPU-based compute systems. The ideal candidate will possess a Bachelor's degree in computer science or a related field, with 8-10 years of relevant experience. Responsibilities include deploying AI workloads, monitoring systems, and automating infrastructure operations. Experience in the securities or financial services industry is preferred.