Remote AI Systems Engineer - Scale ML Infrastructure

Bright Vision Technologies; Elk Grove (CA); 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 that powers large-scale AI training and inference workloads. The role focuses on 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 the

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 in ML infrastructure.

Skills

Python

Go/C++

Kubernetes

Slurm

Ray

Linux

Distributed training

CI/CD

GPU clusters

Communication

Education

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

Tools

Kubernetes

Slurm

Ray

CI/CD pipelines

Job description

Bright Vision Technologies is seeking an AI Systems Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on 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 the