Remote AI Systems Engineer — Scale GPU ML Infra

Bright Vision Technologies; Palo Alto (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 that powers large‑scale AI training and inference workloads. You will focus on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, emphasizing reliability and cost efficiency.

The ideal candidate has built or operated production AI infrastructure at scale, and possesses strong software engineering

Qualifications

• Bachelor’s or Master’s degree in CS or a related field.
• 6+ 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 AI training workloads.
• Manage GPU clusters, distributed training frameworks, and scheduling.
• Improve storage performance and developer experience for ML engineers.
• Collaborate cross-functionally with hardware, kernel, and ML teams.
• Ensure reliability, efficiency, and cost control of AI infrastructure.

Skills

Python

Go

C++

Kubernetes

Slurm

Ray

Distributed training

Linux internals

Networking

Cloud ML infra

CI/CD

Code review

Communication

Education

Bachelor’s or Master’s in Computer Science

Tools

Kubernetes

Slurm

Ray

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. You will focus on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, emphasizing reliability and cost efficiency.

The ideal candidate has built or operated production AI infrastructure at scale, and possesses strong software engineering