Jobs 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.

Own complex ASIC and SoC physical implementation from synthesized netlist through signoff, including floorplanning, placement, CTS, routing, timing closure, ECOs, physical verification, and power integrity. Lead cross-functional timing and implementation convergence, develop automation and methodologies, resolve advanced-node challenges, and provide technical mentorship. Partner with RTL, architecture, DFT, verification, package, and SI/PI teams while driving PPA, runtime, quality, and tapeout readiness.

Delos is a stealth-mode startup seeking to build foundational technology for AI data centers, fostering a collaborative and responsible working environment.