AI Infrastructure Engineer

Bright Vision Technologies is seeking a skilled AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The ideal candidate has built or operated production AI infrastructure at scale and brings strong software engineering discipline to platform work.

Requirements

• Design and operate GPU and accelerator infrastructure for training and inference
• Build scheduling, queueing, and resource-sharing systems
• Integrate frameworks into a unified platform offering
• Operate high-performance storage systems and data pipelines
• Design networking architectures
• Build observability for AI workloads
• Implement checkpointing, restart, and fault-tolerance patterns
• Drive cost optimization across compute, storage, and networking
• Develop developer tooling and paved-road workflows
• Partner with research and applied ML teams to plan capacity for upcoming training runs
• Implement security controls, isolation, and access management
• Drive automation across cluster provisioning, lifecycle management, and configuration enforcement
• Maintain runbooks, capacity dashboards, and operational documentation

Benefits

• Competitive base salary commensurate with experience
• Benefits
• Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap