Senior AI Systems Engineer - Remote GPU Infrastructure

Bright Vision Technologies; Artesia, Cerritos (CA, 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 powering large-scale AI training and inference workloads. This remote role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and improving developer experience for ML engineers and researchers.

Candidates should have 6+ years of infrastructure or HPC experience, strong Python and systems language skills, and hands-on experience with Kubernetes,

Qualifications

• Bachelor’s or Master’s degree in Computer Science or 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, emphasizing reliability and cost control.
• Collaborate with hardware, kernel, scheduler and ML framework teams to improve platform outcomes.

Skills

Communication

Cross-functional collaboration

Education

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

Tools

Python

Go

C++

Kubernetes

Slurm

Ray

Cloud ML infra

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. This remote role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and improving developer experience for ML engineers and researchers.

Candidates should have 6+ years of infrastructure or HPC experience, strong Python and systems language skills, and hands-on experience with Kubernetes,