Teams at Designworks Talent LLC

Designs and operates virtualization and Kubernetes orchestration platforms for large-scale GPU and HPC workloads. Responsibilities include GPU cluster provisioning, workload scheduling, resource allocation, multi-tenant infrastructure, cluster lifecycle management, automation, reliability, security, and scalability. The role partners with hardware, networking, infrastructure, and AI platform teams while owning complex systems from architecture through production operations.

Conduct applied research on AI models, inference systems, accelerator ecosystems, and data center infrastructure. Evaluate emerging technologies and translate findings into engineering, product, infrastructure, financial, and commercial strategies. Own technical views on GPU hall capacity, power, cooling, density, cost, and performance. Support customer and partner discussions, infrastructure diligence, benchmarking, and technology investment decisions. The role requires hands-on inference, compiler, kernel, runtime, and multi-accelerator experience, with up to 25% international travel.

Optimize GPU kernels and data-plane performance for large-scale AI workloads by profiling, identifying bottlenecks, tuning kernels, developing benchmarks and tooling, and collaborating with ML and platform teams to maximize GPU utilization, throughput, and reliability.