Teams at Delos Data

Build and maintain automated testing frameworks for distributed AI training and inference workloads. Develop end-to-end integration and stress-testing plans covering distributed systems, GPU kernels, AI frameworks, and hardware-software boundaries. Collaborate with systems engineers to troubleshoot failures in large-scale clusters, using telemetry and profiling tools to identify root causes and performance bottlenecks. The role also supports containerized test environments and CI/CD workflows.

Build and maintain automated testing frameworks for distributed AI training and inference workloads. Develop end-to-end integration and stress-testing plans, validate GPU and hardware-software interactions, and troubleshoot failures in large-scale distributed clusters. Collaborate with systems engineers using telemetry and profiling tools to identify root causes and performance bottlenecks. The role requires Python automation, test framework development, containerization, and CI/CD experience, with Kubernetes, infrastructure automation, networking, and firmware testing experience preferred.

Lead architecture and delivery of advanced multi-die IC packages for high-performance AI accelerators. Select package types, define substrate stack-ups, bump/ball maps, interposer and mechanical constraints. Design routing, signal escaping, and power distribution; collaborate with IC, SI/PI, physical design and board teams. Manage subcontractors and engage TSMC/OSAT, evaluate emerging packaging technologies, and support package bring-up, failure analysis, debug, and qualification.