Principal, Design Engineer

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Date: May 27, 2026

Location: San Jose, CA, US

Company: Celestica International LP

Req ID: 134234 
Region: Americas 
Country: USA 
State/Province: California 
City:  San Jose 

Summary

We are looking for a high-impact Principal Engineer to architect, design, and code the next generation of our EDA (Electronic Design Automation) platform. In this role, you will bridge the gap between advanced software automation, enterprise EDA tools (e.g., Cadence, Siemens, Ansys), and complex hardware board design. Reporting to the Office of the VP of Engineering, you will lead the technical development of our "Celestica-tuned Hardware Knowledge Engine," transforming massive repositories of global engineering data—including PCB stackups, SI/PI reports, BOMs, and DFX rules—into active, predictive intelligence.

This is a hands-on development role. You will be the lead developer responsible for building the advanced data pipelines, search architectures, and predictive models that allow our hardware engineers to interact seamlessly with their EDA software and legacy design data. You will work closely with hardware Subject Matter Experts (SMEs) to ingest complex schematics, board layouts, and simulation logs, building automated workflows and software adaptors that optimize routing, reduce board spins, and accelerate our hardware time-to-market.

Detailed Description

  • Determine product or system requirements
  • Design and develop electrical and electronic devices, products, and systems
  • Use engineering or design software or equipment to create models, diagrams, and layouts
  • Evaluate systems and recommend design modifications or equipment repair
  • Inspect and test reliability and safety of electrical and electronic devices, products, and systems
  • Act as the lead developer responsible for building advanced data pipelines, search architectures, and predictive models. You aren't just a strategist; you are the primary builder of the software adaptors that allow hardware engineers to interact seamlessly with EDA software and legacy design data.
  • Work closely with Hardware Engineers and Subject Matter Experts (SMEs) to deconstruct and understand complex, manual engineering processes. You will translate their specialized knowledge into automated software logic and AI-driven workflows.
  • Partner with Software Engineering and IT teams* to ensure all automation tools are scalable, secure, and integrated into our enterprise infrastructure. You will bridge the gap between "hardware logic" and "software execution."
  • Ingest complex schematics, board layouts, and simulation logs to build automated systems that optimize routing, reduce board spins, and significantly accelerate hardware time-to-market
  • Iidentify opportunities to apply technologies to predict design failures, and automate component selection.

Knowledge/Skills/Competencies

  • Expertise in designing advanced RAG systems, vector embeddings, and semantic search principles to eliminate AI hallucinations.

  • Strong knowledge of data normalization, structuring unstructured data, and database management (specifically vector databases like Pinecone or Milvus).

  • Familiarity with hardware design processes, Electronic Design Automation (EDA) tool outputs, Bill of Materials (BOMs), schematics, and manufacturing yield metrics.

  • Specific knowledge of Google's Gemini model family, Vertex AI Agent Builder, and Model Garden.

  • Theoretical and practical understanding of Large Language Models (LLMs), Natural Language Processing (NLP), and Multimodal AI architectures.

 

Physical Demands

Typical Experience

  • Experience: 5+ years of total software engineering experience, with 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.

Typical Education

Education: 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

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Salary

Salary Range: $150k- $215k Annually

The salary range described in this posting is an estimate by the Company, and may change based on several factors, including by not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate.

Compensation includes the Base Salary and the target Short-Term Incentive (STI)/ bonus.  A comprehensive benefits package is offered in addition to this.

 

The stated range includes Base Salary and target Short-Term Incentive (STI) compensation only. A comprehensive benefits package is offered in addition to this range.

The range described in this posting is an estimate by the Company, and may change based on several factors, including but not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate.

Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. 
This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines.
Celestica is an E-Verify employer.

 

COMPANY OVERVIEW:
Celestica (NYSE, TSX: CLS) enables the world’s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.

 

Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.


Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto

Job Segment: Design Engineer, Test Engineer, Computer Science, Software Engineer, Aerospace Engineering, Engineering, Technology

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