Remote AI Systems Engineer: Scale GPU ML Infra

Bright Vision Technologies; Oregon; Híbrido; USD 90.000 - 100.000; Jornada completa

Descripción de la vacante

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 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 hardware–kernel–scheduler–ML framework interactions, and brings strong

Formación

• 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.
• 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.

Responsabilidades

• Design, build, and operate the platform layer powering AI training and inference workloads.
• Focus on GPU clusters, distributed training frameworks, scheduling, and storage performance.
• Improve developer experience for ML engineers and researchers.
• Ensure reliability, efficiency, and cost control.
• Collaborate with hardware, kernel, scheduler, and ML frameworks teams.

Conocimientos

Python

Go/C++

6+ years experience

Distributed training

Linux internals

Networking

CI/CD

Testing

Code review

Communication

Cross-functional collaboration

Educación

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

Herramientas

Kubernetes

Slurm

Ray

Descripción del empleo

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 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 hardware–kernel–scheduler–ML framework interactions, and brings strong