Remote AI Infrastructure Engineer - GPU Clusters

Bright Vision Technologies

Tampa (FL)

Remote

USD 100,000 - 150,000

Full time

2 hours ago

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Job summary

Bright Vision Technologies is seeking an Intelligent Infrastructure 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, focusing on reliability, efficiency, and cost control.

The ideal candidate has built or operated production AI infrastructure at scale, understands

Qualifications

Bachelor’s or Master’s degree in Computer Science or related field.
6+ years of infrastructure, platform, or HPC engineering experience.
Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
Strong proficiency in Python and at least one systems language (Go or C++).
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 cloud ML infrastructure offerings.
Strong software engineering practices including testing, CI/CD, and code review.
Excellent communication and cross-functional collaboration skills.