Master Thesis: Requirements to Verified RTL Releases: A Multi-Agent Traceability Framework for ASIC

## Join our Team About this opportunity This thesis work proposes to develop and test a ‘Multi-agent ecosystem for feature-centric traceability and internal + external releases quality assurance and quality gating in for a cross-functional teams-oriented Organization supporting agile ways of development a complex ASIC IP. What you will do The proposed eco-system will ingest requirement specifications and connect them with Jira work items movement, RTL revisions for optimization or feature-changes, Documentation updates e.g. DS, VS, reference-model implementations, verification evidence, FPGA builds and release baselines. Specialized agents are proposed to operate under clearly defined roles, while a coordinating agent will construct an auditable artifact graph, perform change-impact analysis and generate explainable quality-marker reports. The research will combine LLM-based semantic reasoning with deterministic version, dependency and quality-gate rules. The prototype will be evaluated using traceability accuracy, warning precision, evidence completeness, unsupported-claim rate and practitioner assessment. The expected contribution is a technically rigorous approach for improving XFT autonomy while preserving system-level consistency, release transparency and engineering accountability. The skills you bring * Curious mind * Knowledge in Computer Science, Electrical Engineering, or a related field. * Experience in at least one programming language (Python not mandatory). * Eagerness to learn and explore new concepts. * Bonus: experience in machine learning.