Remote Senior AI Infrastructure Engineer

Bright Vision Technologies; Florida; Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an Intelligent Infrastructure 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, with a focus on reliability, efficiency, and cost control. Remote work nationwide and full-time W2.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• Six+ years in infrastructure, platform, or HPC engineering.
• Experience with GPU clusters or large-scale ML training infra.
• Proficiency in Python and at least one systems language (Go or C++).
• Familiarity with ML scheduling systems and cloud ML offerings.

Responsibilities

• Design, build, and operate the AI training/inference platform at scale.
• Focus on GPU clusters, distributed training, scheduling, and storage.
• Improve reliability, efficiency, and cost control for ML workloads.
• Collaborate with ML researchers and engineers across teams.

Skills

Python

Go

C++

CI/CD

Communication

Education

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

Tools

Kubernetes

Slurm

Ray

Linux

CI/CD tooling

Job description

Bright Vision Technologies is seeking an Intelligent Infrastructure 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, with a focus on reliability, efficiency, and cost control. Remote work nationwide and full-time W2.