Remote AI Systems Engineer - Scalable ML Infra

Bright Vision Technologies; Santa Clara (CA); On-site; 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 production AI infrastructure, understands hardware-to-ML interactions, and brings strong software engineering discipline to platform work.

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, storage performance, and developer experience for ML engineers and researchers.
• Emphasize reliability, efficiency, and cost control.
• Understand interaction between hardware, kernel, scheduler, and ML framework.
• Bring strong software engineering discipline to platform work.

Skills

Python

Go/C++

Distributed training

Linux internals

CI/CD

Communication

Education

CS degree (BS/MS)

Tools

Kubernetes

Slurm

Ray

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 production AI infrastructure, understands hardware-to-ML interactions, and brings strong software engineering discipline to platform work.