Remote AI Infrastructure Engineer (GPU & Platform)

Bright Vision Technologies; Wesley Chapel (FL); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an Intelligent Infrastructure Engineer to design, build, and operate the platform layer powering large-scale AI training and inference workloads. The role focuses on GPU clusters, scheduling, storage performance, and developer experience.

The ideal candidate will have 6+ years in infrastructure or HPC, strong Python and Go/C++, and hands-on experience with Kubernetes, Slurm, and Ray. 100% remote role with US-wide eligibility and competitive salary.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Six or more years of experience in infrastructure, platform, or HPC engineering.
• Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
• Strong proficiency in Python and at least one systems language such as Go or C++.
• Deep understanding of distributed training, accelerator architectures, and collective communication.
• Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads.
• Strong understanding of Linux internals, networking, and high-performance storage.
• Experience with at least one major cloud provider’s ML infrastructure offerings.
• Strong software engineering practices including testing, CI/CD, and code review.
• Excellent communication and cross-functional collaboration skills.

Skills

Python

Go

C++

Distributed training

Kubernetes

Slurm

Ray

Linux internals

Networking

ML infra on cloud

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 training and inference workloads. The role focuses on GPU clusters, scheduling, storage performance, and developer experience.

The ideal candidate will have 6+ years in infrastructure or HPC, strong Python and Go/C++, and hands-on experience with Kubernetes, Slurm, and Ray. 100% remote role with US-wide eligibility and competitive salary.