AI Systems Performance Specialist

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. They are seeking a highly experienced AI Systems Performance Specialist to optimize AI training and inference workloads for maximum performance, scalability, reliability, and cost efficiency. This role requires deep expertise in GPU optimization and performance engineering across enterprise-scale AI platforms.

Responsibilities:

• Optimize AI training and inference pipelines for maximum throughput, low latency, scalability, and infrastructure efficiency
• Analyze and improve GPU utilization, memory management, kernel execution, and multi-GPU performance across production AI workloads
• Design and implement optimization techniques including quantization, pruning, mixed precision, batching, caching, speculative decoding, and model parallelism
• Profile AI applications using industry-standard performance analysis tools and identify bottlenecks across compute, memory, networking, and storage
• Optimize distributed training and inference using NCCL, DeepSpeed, PyTorch Distributed, Ray, MPI, or similar distributed computing frameworks
• Collaborate with AI researchers, ML engineers, platform engineers, and infrastructure teams to improve model performance and production reliability
• Build automated benchmarking frameworks, performance dashboards, monitoring solutions, and regression testing pipelines
• Evaluate emerging AI hardware, GPU architectures, inference frameworks, and optimization technologies to improve enterprise AI capabilities
• Drive AI infrastructure cost optimization through efficient resource utilization, cloud optimization, and FinOps best practices
• Mentor engineering teams and provide technical leadership on AI systems architecture, GPU optimization, and performance engineering