Remote AI Systems Engineer — Scalable GPU Infra

Bright Vision Technologies; United States; Remote; USD 90,000 - 100,000; Full time

Job summary

Bright Vision Technologies seeks an AI Systems Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role emphasizes GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control.

The ideal candidate has built or operated production AI infrastructure at scale, understands hardware,

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.

Responsibilities

• Design, build, and operate the platform layer powering large-scale AI training and inference workloads.
• Focus on GPU clusters, distributed training frameworks, scheduling, and storage performance.
• Improve developer experience for ML engineers and researchers with reliability and cost control in mind.

Skills

GPU clusters

Python

Go/C++

Distributed training

Linux internals

Kubernetes/Slurm

CI/CD

Communication

Education

Bachelor’s/Master’s in CS or related

Tools

Ray

Slurm

Kubernetes

Job description

Bright Vision Technologies seeks an AI Systems Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role emphasizes GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control.

The ideal candidate has built or operated production AI infrastructure at scale, understands hardware,