Remote AI Systems Engineer: ML Infra & GPU Clusters

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

Job summary

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

The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework,

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Six+ years of infrastructure, platform, or HPC engineering experience.
• Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
• Proficiency in Python and at least one systems language (Go or C++).
• Deep understanding of distributed training, accelerator architectures, and collective communication.
• Experience with Kubernetes, Slurm, Ray, or similar ML scheduling systems.
• Strong understanding of Linux internals, networking, and high-performance storage.
• Experience with major cloud provider ML 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 for large-scale AI training/inference workloads.
• Focus on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML teams.
• Ensure reliability, efficiency, and cost control in AI infrastructure.
• Collaborate with hardware, kernel, scheduler and ML frameworks to optimize performance.

Skills

Python

Go

C++

Distributed training

Kubernetes

Slurm

Ray

Linux internals

Networking

Cloud ML infra

CI/CD

Code review

Communication

Education

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

Tools

Kubernetes

Slurm

Ray

Go

C++

Python

Linux

Networking tools

Job description

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

The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework,