Overview
We are looking for a Machine Learning (ML) Engineer to join our industry-leading data and IP management product team to build the knowledge and intelligence layers of SOS AI, our AI platform serving the intersection between Electronic Design Automation (EDA) and AI/ML workflows.

is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more

Our culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities
- Design and build low-latency hybrid retrieval (lexical, vector, graph, faceted) over large, heterogeneous data for on-premises,



IP-sensitive deployments.
- Develop the semantic insight layer: automated tagging, domain-aware metadata, and embeddings as first-class managed assets with version provenance.
- Build the EDA-aware knowledge graph as organizational memory: entity and relationship inference, ontology evolution, versioning, and temporal queries.
- Implement agentic memory and outbound MCP servers exposing retrieval, graph traversal, and lineage to external agents with access controls gatekeeping and full audit.
- Engineer governance so access control propagates from source data through embeddings, graph nodes, retrievals, and agent responses.
- Benchmark retrieval quality, embedding models, and LLMs against EDA use cases, selecting models per task under cost and latency constraints.
- Collaborate with product, EDA tool teams and customers to translate semiconductor and RF workflows into requirements.

Qualific

📌 Machine Learning (España)
🏢 Keysight Technologies
📍 España