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.

Build and scale distributed infrastructure for large-scale AI model training across GPU clusters. Responsibilities include improving reliability, fault tolerance, checkpointing, recovery, resource utilization, training pipelines, developer tooling, and operational processes. The role partners with platform, orchestration, performance, and machine learning teams to diagnose training issues and support production-ready AI workloads.

Optimize GPU kernels and data-plane performance for large-scale AI training and inference. Profile workloads, identify bottlenecks, improve latency, throughput, and utilization, develop benchmarking practices, and evaluate GPU technologies across distributed infrastructure. Collaborate with AI infrastructure, machine learning, and platform engineering teams to improve GPU efficiency, scalability, and reliability.