Senior AI Infrastructure Engineer — Remote

Bright Vision Technologies

Sterling (VA)

On-site

USD 100,000 - 150,000

Full time

14 days+

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Job summary

Bright Vision Technologies is seeking an Intelligent Infrastructure Engineer to design, build, and operate the platform layer powering large-scale AI workloads. The role emphasizes GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers.

The ideal candidate has built or operated production AI infrastructure at scale, understands hardware interactions with kernel and ML frameworks, and brings strong software

Qualifications

  • Bachelor’s or Master’s degree in CS or related field.
  • 6+ years in infrastructure, platform, or HPC engineering.
  • Experience operating GPU clusters or large-scale ML training infra.
  • Proficiency in Python and Go or C++.
  • Strong Linux, networking, and storage knowledge.
  • Experience with ML infra scheduling systems (Kubernetes, Slurm, Ray).

Responsibilities

  • Design, build, and operate the platform layer powering large-scale AI training and inference workloads.
  • Focus on GPU clusters, scheduling, storage performance, and developer experience for ML engineers and researchers.
  • Ensure reliability, efficiency, and cost control across AI infrastructure.
  • Collaborate with cross-functional teams across hardware, kernel, and ML frameworks.

Skills

Python
Go or C++
Distributed training
Linux internals
CI/CD
Communication

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Kubernetes
Slurm
Ray

Job description

Bright Vision Technologies is seeking an Intelligent Infrastructure Engineer to design, build, and operate the platform layer powering large-scale AI workloads. The role emphasizes GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers.

The ideal candidate has built or operated production AI infrastructure at scale, understands hardware interactions with kernel and ML frameworks, and brings strong software

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