Senior Principal AI Design Engineer

Celestica Inc.; San Jose (CA); Hybrid; USD 240.000 - 320.000; Vollzeit

Zusammenfassung

Celestica, Inc. in San Jose seeks a Senior Principal AI Engineer to architect and oversee the enterprise hardware intelligence platform, bridging Generative AI with complex hardware engineering.

You will lead the technical development of data pipelines and digital twins to simulate and optimize board performance. Reporting into the Office of the VP of Engineering, you will drive secure LLM applications, model orchestration, and autonomous AI agents to accelerate design cycles and automate

Qualifikationen

• 10+ years of rigorous software engineering experience with 5+ years in production coding for LLM/NLP/ML architectures.
• Experience architecting AI tools for EDA and hardware lifecycles; ingesting schematics, layouts, netlists, BOMs.
• Expert-level Python and deep learning frameworks; building high-performance vector databases.
• Mastery of LLM orchestration and multi-database Retrieval-Augmented Generation (RAG) pipelines and autonomous agents.

Aufgaben

• Set technical standards for secure LLM applications within Celestica; build a zero-hallucination platform for high-stakes engineering.
• Develop digital twin capabilities to simulate hardware performance for virtual prototyping.
• Architect and code a multi-database, topology-aware RAG system to vectorize complex hardware data.
• Create parsers and ingestion pipelines translating dense binary files, netlists, and schematics into embeddings.
• Develop autonomous multi-agent orchestrations for cross-tool workflows across synthesis, placement, and sign-off.

Kenntnisse

LLM development

NLP

Python

Deep learning

Vector databases

LLM orchestration

Ausbildung

Master’s degree in CS/DS/EE or related

Ph.D. in AI/ML/DL or Data Science (preferred)

Tools

PyTorch

TensorFlow

ChromaDB

Milvus

Pinecone

LangChain

LlamaIndex

Jobbeschreibung

Celestica, Inc. in San Jose seeks a Senior Principal AI Engineer to architect and oversee the enterprise hardware intelligence platform, bridging Generative AI with complex hardware engineering.

You will lead the technical development of data pipelines and digital twins to simulate and optimize board performance. Reporting into the Office of the VP of Engineering, you will drive secure LLM applications, model orchestration, and autonomous AI agents to accelerate design cycles and automate