Senior Distributed Systems Engineer - EDA/VLSI Platform - Cadence - Remote - Global

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. We are building a next-generation distributed transistor-level electromigration and IR drop analysis tool. Our team has strong expertise in numerical solvers and circuit simulation algorithms. We need an experienced distributed systems engineer to design the scalable data processing infrastructure for handling massive circuit designs across distributed computing resources. The role involves architecting and developing core distributed infrastructure for a Python-based platform orchestrating high-performance C++ solvers, focusing on data pipeline and I/O management, job orchestration and workflow, and visualization and analytics. The ideal candidate has over 5 years of experience in building production distributed systems with Python, deep experience with frameworks like Dask Distributed, and strong knowledge of distributed computing patterns, data locality, fault tolerance, high-performance I/O, Python/C++ interop, and large-scale scientific visualization systems. The position offers a salary range of $154,000 to $286,000 annually, with additional incentive compensation, benefits, and a focus on building scalable, reliable infrastructure. We value systems thinkers who prioritize observability, fault tolerance, and user experience, and who are excited about data pipeline architecture and distributed systems. No circuit simulation expertise is required.