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, 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.

As a System Software Engineer, you will design communication primitives for AI models, optimize performance for training workloads, and benchmark performance on clusters.

Develop and maintain UVM-based RTL verification environments for ASIC DFT logic. Create coverage-driven plans, directed tests, assertions, and automated regressions; verify MBIST, scan, ATPG, JTAG, boundary scan, and other DFT functionality. Debug simulation and design issues, validate gate-level behavior and tester patterns, support SoC-level and post-silicon bring-up, and collaborate with DFT design and manufacturing engineers to deliver reliable silicon.