Remote GPU ML Infrastructure Engineer

Bright Vision Technologies is seeking an AI infrastructure engineer to design, build, and operate the platform layer powering large-scale ML training and inference workloads. You will focus on GPU clusters, scheduling, storage, and developer experience for ML engineers and researchers.

The ideal candidate has built or operated production AI infrastructure at scale, understands hardware–kernel–ML framework interactions, and applies strong software engineering practices to platform work.

As a Remote GPU ML Infrastructure Engineer, you will play an important part at Bright Vision Technologies in Highlands Ranch, CO, United States.

For the Remote GPU ML Infrastructure Engineer position at Bright Vision Technologies, we are reviewing applications now.

Step into the Remote GPU ML Infrastructure Engineer role at Bright Vision Technologies in Highlands Ranch, CO, United States and grow with us.

Please review the full job details above before applying.