GPU-Driven AI Infrastructure Engineer

Zoomcar; New York (NY); On-site; USD 215,000 - 350,000; Full time

Benefits offered by this job

Fortinet equity program

Comprehensive benefits package

Job summary

Fortinet seeks an AI Infrastructure Engineer to build and operate Linux and GPU-based infrastructure powering AI platforms and performance labs. You will design benchmarking frameworks, ensure lab reliability, and develop internal AI services for demos and proofs-of-concept.

The role emphasizes hands-on administration, automation, and performance improvements across compute resources, security, and deployment pipelines. Collaboration with engineering teams is essential.

Qualifications

• Hands-on Linux systems administration and infrastructure experience (servers, networking fundamentals, virtualization).
• Experience with KVM or containerization (Docker/Kubernetes).
• Familiarity with DevOps toolchains (CI/CD, IaC, monitoring/observability stacks).
• Strong scripting/automation ability in Python and/or Bash, applied to infrastructure or testing workflows.
• Practical experience with GPU-based compute environments or AI/ML infrastructure.

Responsibilities

• Operate, maintain, and enhance automated performance testing services that benchmark throughput, latency, scalability, and resource utilization.
• Deploy, monitor, and optimize Linux servers, GPU clusters, virtualization platforms, and lab hardware.
• Implement monitoring, logging, alerting, failover, and incident response for critical infrastructure.
• Develop, deploy, and maintain internal AI server applications and shared compute platforms.
• Improve operational efficiency through automation and proactive issue identification; troubleshoot complex system/network/application issues.

Skills

Linux systems administration

KVM / Docker / Kubernetes

DevOps toolchains

Python / Bash scripting

GPU-based compute environments

Education

Bachelor's degree in CS/CE or related field

Tools

Docker

Kubernetes

CI/CD tooling

Job description

Fortinet seeks an AI Infrastructure Engineer to build and operate Linux and GPU-based infrastructure powering AI platforms and performance labs. You will design benchmarking frameworks, ensure lab reliability, and develop internal AI services for demos and proofs-of-concept.

The role emphasizes hands-on administration, automation, and performance improvements across compute resources, security, and deployment pipelines. Collaboration with engineering teams is essential.