Data and DevOps Engineer, Architecture

This role involves designing dashboards and automating performance tracking for software workloads on simulations of future RISC-V CPUs and heterogeneous chiplet-based systems. The candidate will maintain or migrate custom data analysis workflows to scalable platforms like relational databases and Apache Superset and manage large datasets efficiently. Ownership of shared tools and workflows is expected, engaging continuously with architecture and design projects. Collaboration with engineers and architects will be required to evaluate performance tradeoffs through data-driven insights. The role includes streamlining resource allocation for CI/regression tests on a Slurm cluster and identifying resource needs for purchasing decisions and implementing improvements to simulation methodologies and solutions for detecting workflow and job failures.