07 - Engineer, Software

Req ID: 133175
Region: Americas
Country: USA
State/Province: California
City: San Jose

General Overview

Functional Area: Engineering
Career Stream: Design - Software Engineering
SAP Short Name: ENG-ENG-DSE
Job Level: Level 07
IC/MGR: Individual Contributor
Direct/Indirect Indicator: Indirect

Summary

Job Description

We are seeking an AI Engineer to design and implement AI solutions, in collaboration with staff across Celestica's Hardware Platform Solutions organization. You will be involved in the entire development lifecycle, from concept to deployment working closely with senior team members.

Mindset and Approach

A good candidate for this job is one that thrives when given problems rather than a task list. They must demonstrate strong interpersonal communication skills, initiative and creativity. We are seeking driven individuals that challenge the status quo and apply critical thinking to new technologies.

Responsibilities

• 
  Architect AI Solutions: High-level design and architecture of complex AI projects, ensuring they are scalable, efficient, and aligned with business objectives.
  
• 
  Build AI Systems: Construct and deploy agentic AI solutions and AI models at the edge.
  
• 
  Research new AI solutions: Create proof of concepts and develop new and innovative solutions to satisfy the needs of the business.
  

Knowledge/Skills/Competencies

Required Qualifications

• Applied AI Model Theory: A good understanding of the theoretical base and practical applications of modern AI models, including LLMs, LRMs, RAG, Vector Databases, and inference platforms (e.g., vLLM, TensorRT).
• Agentic AI Expertise: A good understanding of how to build and deploy complex AI agents using frameworks like LangChain or LangGraph. Knowledge of how AI agents communicate and operate (e.g., MCP and A2A).
• Coding Skills: Good knowledge of Python and a strong familiarity with other programming languages (e.g., C++, Java, Rust, Go).

Preferred Qualifications

• 
  Cloud AI Deployments: Expertise deploying and managing AI/ML workloads on major cloud platforms (e.g., Azure AI, Google Vertex AI). Familiarity with containerization and orchestration technologies like Docker and Kubernetes.
  
• Traditional Machine Learning: Experience with MLOps principles, including CI/CD for machine learning, AI model monitoring and deployment, and versioning.

The following competencies may also be required and performed with help or under supervision: Coaching/Mentoring; Communication/Negotiation/Presentation; Creative Problem Solving; Customer Interaction/Stakeholder Management; Quality & Lean; Working Effectively with Others; D/PFMEA; 8D/Corrective Action; Equipment Safety; Design of Experiments (DOE).

Physical Demands

• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
• Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
• Occasional travel may be required.

Typical Experience

• 2 to 6 years

Typical Education

An advanced degree in a field like Computer Science, Data Science or AI, or equivalent practical experience in the industry

Educational Requirements may vary by Geography

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.

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.