AI Engineer – Foundational Models with Multi-Modality (Analog IC Design)
Core
Build and maintain a domain-specific knowledge base and internal chatbot platform to support semantic understanding of analog IC concepts for NXP design centers worldwide.
Role type
AI Engineer specializing in foundational models and multi-modality for analog IC design
Builds
Internal chatbot platform (Streamlit, AWS Bedrock) and domain-specific knowledge base for analog IC terminology
Domain
Semiconductor design (Analog IC) + Generative AI
Deliverable
production ML models | product features
Required skills
Python (OOP), PyTorch/Tensorflow/Huggingface, CUDA, Linux/Bash/CMake, AWS Bedrock/Lambda, MLOps, vector databases, semantic search, GNNs, open-source multi-modal foundational models
Preferred skills
Analog IC design knowledge, Docker/containerization, Git/CI-CD, C/C++ OOP, Cadence SKILL, Streamlit
Technologies
Streamlit, AWS Bedrock, PyTorch, TensorFlow, Huggingface, CUDA, Linux, Bash, CMake, Docker, Git, Jira, Robot Framework
Responsibilities
Establish best-in-class methodologies and tools for NXP design centers; integrate Generative AI into analog IC design workflows; enhance chatbot context-awareness for IC terminology; build and maintain knowledge base for semantic understanding; collaborate with cross-functional teams on AI tool integration.
Seniority
Mid-Senior (5+ years experience)