AI Infrastructure Engineer

Bright Vision Technologies is a software development company 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, understands the interaction between hardware, kernel, scheduler, and ML framework, 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 such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform
• Operate high-performance storage systems and data pipelines
• Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication
• 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
• Implement security controls, isolation, and access management
• Drive automation across cluster provisioning, lifecycle management, and configuration enforcement
• Maintain runbooks, capacity dashboards, and operational documentation
• Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling

Benefits

• Competitive base salary commensurate with experience
• Plus benefits