Delos Data Inc

The engineer will develop and maintain RTL verification environments using UVM, create coverage-driven verification plans, and use EDA DFT tools to generate and run pre-silicon test cases for MBIST and scan fabric. Key tasks also involve debugging complex issues, tracking coverage, and automating regression testing.

The role involves designing, developing, and maintaining a robust automated testing framework from scratch to support distributed AI training and inference workloads. Responsibilities also include developing complex test plans focusing on end-to-end integration, stress testing, and boundary conditions, while partnering with engineers to debug issues.

The engineer will collaborate across the stack to influence foundational technology design, ensuring it meets the needs of next-generation AI models. Key tasks include identifying and resolving performance bottlenecks in distributed workloads through deep-dive analysis of the software-hardware interface and conducting rigorous performance benchmarking.

The engineer will select and design optimal multi-die IC package types while performing detailed Signal Integrity and Power Integrity analyses for high-speed interfaces. Key tasks involve running complex simulations, defining package specifications, and collaborating cross-functionally with design and layout teams.

This is a general submission portal for resumes for any potential needs not currently featured on the company's main page. The company focuses on building foundational technology for large-scale AI data center clusters.