Senior Principal, Design Engineering

Celestica International LP • San Jose, CA

6h • $190,000 - $27,000

About The Position

- AI Architecture & Development: Lead the hands-on design and coding of RAG (Retrieval-Augmented Generation) architectures and agentic workflows. Build systems that allow hardware engineers to "query" complex design rules and legacy data with high accuracy.
- Engineering Data Strategy: Write custom Python scripts and parsers to extract structured intelligence from diverse sources, including PDF datasheets, EDA output files, Netlists, and complex block diagrams.
- Model Optimization & Tuning: Execute fine-tuning runs for foundation models (e.g., Gemini/Vertex AI) using proprietary historical data to create a domain-specific expert model for hardware design.
- Multimodal Analysis: Develop capabilities for AI to interpret visual engineering data, such as thermal heatmaps, mechanical drawings, and circuit diagrams, to automate technical documentation and manuals.
- Predictive Analytics: Implement "Shift-Left" algorithms that utilize historical yield and manufacturing data to predict potential defects during the early stages of the design cycle.
- Vector Database Management: Build and optimize the vectorization pipeline (using Pinecone, Milvus, or similar) to ensure the AI can retrieve specific design rules without "hallucinations."
- Technical Leadership: Act as a subject matter expert (SME) for AI/ML within the engineering organization, providing guidance on tool integration and automating workflows within EDA suites.

Requirements

• The "Builder" DNA: Strong evidence of building and deploying AI-powered applications.
• Python Mastery: Ability to write clean, scalable, and efficient Python code.
• Data Wrangling: Ability to extract signals from unstructured data, including complex technical PDFs and log files.
• Product Sense: Demonstrated ability to turn user requirements into functional AI features.

Nice To Haves

• Hardware Curiosity: Interest in PCBs, schematics, and manufacturing processes.
• Knowldge in Hardware design tools e.g: Cadence Allegro, Siemens
• Cloud Fluency: Experience with Google Vertex AI or similar enterprise platforms.
• Background in Complex Systems for e.g: Experience in datacenter solutions for Hyperscalers
• Advanced Degrees: MS or PhD in a relevant field (EE, Computer enginerring, Computer Science) or a strong portfolio of technical leadership.

Responsibilities

• Manage relationships with key AI research partners and cloud vendors.
• Research emerging AI/ML trends and develop implementation plans for the engineering roadmap.
• Design and implement systems that meet both internal efficiency goals and customer-specific design standards.
• Liaise with hardware SMEs, software teams, and external contractors to ensure tool adoption.
• Recommend system modifications based on user feedback from the engineering floor.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior