Principal, Design Engineering

The Principal AI Engineer will architect, design, and code the next generation of the engineering intelligence platform, leading the technical development of a custom Enterprise LLM to transform engineering data into predictive intelligence. This hands-on role involves building data pipelines, RAG architectures, and multimodal models to integrate AI with hardware design tools and legacy data.

Responsibilities

• Architect, design, and code the next generation of Celestica’s engineering intelligence platform
• Bridging the gap between advanced Generative AI and complex hardware engineering
• Lead the technical development of Celestica-tuned Enterprise LLM
• Transform massive repositories of global engineering data into active, predictive intelligence
• Build the data pipelines, RAG architectures, and multimodal models that allow engineers to talk to their design tools and legacy data
• Work closely with hardware Subject Matter Experts (SMEs) to transform schematics, logs, and diagrams into a high-performance tool

Requirements

• Advanced AI & Machine Learning
• Deep theoretical and practical understanding of Large Language Models (LLMs), Natural Language Processing (NLP), and Multimodal AI architectures
• 5+ years of total software engineering experience
• At least 2+ years of hands-on coding in LLM application development, NLP, or Machine Learning
• Hardware Lifecycle Coding
• Proven experience building tools specifically for the hardware design cycle
• Technical Stack
• Expert proficiency in Python, PyTorch/TensorFlow, and vector databases
• Mastery of LLM frameworks
• A Master’s degree (MS) in Computer Science, Data Science, Electrical Engineering, or a related technical field is required
• A Ph.D. in AI, Machine Learning, or Data Science is highly preferred

Benefits

• A comprehensive benefits package is offered in addition to the salary range

Key Skills