Remote AI Systems Engineer - Scale GPU ML Infra

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 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 interactions between hardware, kernel, scheduler, and ML framework, and brings

Qualifications

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

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.
• Enhance developer experience for ML engineers and researchers with reliability and cost control.
• Understand hardware, kernel, scheduler, and ML framework interactions; apply strong software engineering discipline.

Skills

Python

Go

C++

distributed training

CI/CD

testing

code review

communication

cross-functional collaboration

rapid problem solving

cloud infrastructure

Education

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

Tools

Kubernetes

Slurm

Ray

InfiniBand / RDMA

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 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 interactions between hardware, kernel, scheduler, and ML framework, and brings