Develop the data requirements AV companies must meet — what operational and safety data they share with CAM, in what format, at what frequency, and how it may be used.
Participate in and manage the research project with the Principal Investigator (PI), co-PIs, research team and industry partners to ensure all project deliverables are met.
Research, experiment with, and evaluate agent workspaces, agentic coding tools, application deployment platforms, workflow builders, and other emerging AI technologies for use in AI solutions.
Build and operate the core knowledge graph and knowledge-management layer: ontology and metadata model, governed ingestion from enterprise sources, graph projection, and hybrid graph and vector retrieval
The role focuses on enabling AI capabilities within Infineon’s manufacturing operations to drive cost reduction and efficiency improvements. By understanding business requirements and developing scalable solutions, the intern will help deploy AI models on cloud platforms to optimize production processes.
Lead the design and engineering of network solutions across Data Centre, Campus, and WAN/SD-WAN domains, ensuring scalability, resilience, security, and performance.
Product and stakeholder partnership: Partner with Product Owners, UX designers, business stakeholders, and engineers to translate business challenges into scalable AI-powered products and services.
Domain Authority: Serve as the semiconductor domain expert for the Eureka Materials Agent, ensuring technical accuracy and industrial practicability for chip, device, and material reverse engineering scenarios.
Product and stakeholder partnership: Partner with Product Owners, UX designers, business stakeholders, and engineers to translate business challenges into scalable AI-powered products and services.