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Celestica International LP

Student Intern, Operations Techology & AI Solutions

Toronto, ON, Canada

Pay: $23 to $30 CAD / hour
Posting language: English
Posted: Sep 21, 2026

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Original job description

Req ID: 140430 Remote Position: No Region: Americas Country: Canada State/Province: Ontario City: Toronto

16 Month Internship

As a global technology leader, Celestica designs, engineers, and manufactures industry-leading products and services that drive customer success and market advancement. Headquartered in Toronto, Canada, we bring together over 33,000 employees across more than 45 sites in North America, Europe, and Asia.

With deep expertise in design, engineering, manufacturing, supply chain management and platform solutions, Celestica enables critical data center infrastructure for AI, cloud, and hybrid cloud and advances technologies in high-growth markets. Working with the world’s leading technology companies across a broad range of industries, Celestica helps its customers achieve a competitive advantage. These products span key areas such as data centre technology, aerospace and defense, healthtech, and capital equipment.

Working at Celestica is more than a job. It’s about being part of something bigger and shaping the future with your work. You’ll take on exciting and challenging projects, get hands-on experience, collaborate with a global team, and learn from some of the greatest minds in the industry. And just as we aspire to imagine, develop and deliver a better future with our customers, we’re just as committed to delivering the best employee experience.

Benefits for Students Include:

Experience working for one of the largest Canadian global technology companies
Possibility of a student casual contract position after completion of internship
Possibility of a full-time position after completion of degree
Access to Celestica’s development programs and projects
Celestica's Time Off to Volunteer program – two paid days off to volunteer per year
Fun intern activities including celebration events and networking
Internal recognition programs and rewards for stellar performance

What’s in it for you?

Opportunity: Job experience at a large Canadian-based global company
Innovation: We look to our employees to implement new ideas and improve the way we do things
Collaboration: Students work as part of global teams, enabled by collaborative technology
Sustainability: We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
Development opportunities: including soft skills courses, innovation projects and mentorship
Networking: Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
Fun: Our interns have the opportunity to participate in fun activities including intern social events, Celestica’s charitable initiatives and our Spirit Week activities

About this opportunity:

The Operations Engineering Intern will enjoy a stimulating and challenging work environment in a highly motivated team. The ideal candidate should be currently enrolled in an Engineering or Computer Science program and have completed their 3rd year. We are looking for a team player who is able to learn quickly, is self-motivated, has excellent analytical abilities and is comfortable supporting projects for deployment in manufacturing environment. The candidate will have the opportunity to learn and contribute to several key enabling functions in the Operations Engineering organization including Project Management, Project Execution & Performance Monitoring, Operating Model Design, Technology Innovation.

Activities:

Architecting and developing software, data pipeline and automation tools to address business needs.
Being able to analyze a problem, devise solutions, and implement those solutions using code.
Ability to create dashboards for data visualization, managing cloud projects, DevOps environment, automation scripts, etc.
Data analytics of rich data sets streaming from multiple factories in multi-national organization
Interpretation of data from operations for monthly executive reviews
Modeling performance of equipment using different data sources
Work in a cross functional team with engineering and IT
Work on technical projects, around production equipment connectivity
Project manage deployment of tools and processes into manufacturing operations
Create requirements documents, procedures, technical reports and training guides
Work with Google Workspace Tools and develop custom scripts using Apps Script (JavaScript), and some HTML/CSS
Attendance and discussion at weekly department meetings
Create and present monthly project reviews for global operations (reporting)

Preferred Skills

Proficiency in web development tools (Mainly JavaScript, Some HTML and CSS)
Proficiency in Office productivity tools (Google Workspace, Microsoft Office)
Programming Fundamentals: Solid proficiency in Python (object-oriented programming, data structures, clean code practices) and foundational web development skills (JavaScript, HTML/CSS, REST API concepts)
CS & Math concepts: Understanding of standard algorithms, basic relational database queries (SQL), and comfort with spatial / matrix math concepts
Data Processing & Scripting: Experience gathering, cleaning, and transforming structured data (e.g., JSON, CSVs, database tables) using Python libraries and other tools
Cloud Platform Exposure: Practical exposure to cloud platform like Google Cloud Platforms (GCP) for resource management, VM operations, or basic experience running applications inside lightweight containers (e.g., Docker)
General Tooling & OS: Working Familiarity with Git, Linux/Windows environments, and basic cloud or automation environments (Google Workspace, GCP, Azure DevOps, or Apps Script)
Problem-Solving & Debugging: Ability to evaluate existing code, isolate bugs, read technical documentation, and translate business needs into clean solutions
Comfortable asking targeted questions, picking up new tools and tools independently, and willingness to learn new paradigms
Ability to gain a working understanding of manufacturing processes, shop-floor metrics, and basic business workflows.
Ability to work both independently and collaboratively across both office and manufacturing facility environments.
Solid time management skills with the ability to prioritize tasks, meet project deadlines, and utilize standard productivity software (Google Workspace, Microsoft Office).
Basic exposure to image processing, machine learning, or deep learning libraries (e.g., OpenCV, PyTorch)
Familiarity with Docker containerization, asynchronous messaging, or operations research/optimization concepts
Exposure to web frameworks like FastAPI or real-time data streaming (WebSockets)
Ability to gather, clean, process, and combine data from different sources (ETL Pipelines)
Ability to work independently and as part of a team in both an office and a manufacturing environment
Ability to gain a basic understanding of manufacturing processes and metrics
Time management and ability to prioritize tasks according to deadlines

Physical Demands

Duties of this position are performed in a normal office with exposure to manufacturing environments.
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 are frequently required (e.g. data entry, using a computer mouse, using a calculator, etc).
Basic manufacturing system knowledge.

Salary

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.

The hourly wage is determined by the years of study completed and is non-negotiable as per company policy.

Hourly Wage: $23-30 CAD/hr

Additional Details

Area: Engineering

Start Date: May 2027

Location: 5140 Yonge Street, Toronto, ON

Vacancies: 1 position

Experience: No Formal Experience Required.

Education: Enrollment in a University internship/co-op program, completing 3rd year in a 4-year program or 4th year of a 5-year program of Computer or Mechatronic Engineering. Please provide a copy of your transcript with your application.

***As this position involves work that is subject to the Canadian Government's Controlled Goods Program (CGP), your employment offer is conditional upon the successful completion of a security assessment by Celestica and/or its authorized agents, per the Controlled Goods Regulations.

To apply, please visit www.celestica.com. Please provide a copy of your transcript with your application. Please include your student email address in your application.

Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law). At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

COMPANY OVERVIEW:

Celestica, Inc. (NYSE: CLS; TSX: CLS) is a technology leader dedicated to driving customer success and market advancements. With deep expertise in design, engineering, manufacturing, supply chain, and platform solutions, Celestica enables critical data center infrastructure for AI, cloud, and hybrid cloud and advances technologies in high-growth markets. With a talented team and a strategic global network, Celestica helps its customers achieve competitive advantages.

Today, Celestica delivers innovative supply chain solutions globally to customers in strategic two operating and reporting segments: Advanced Technology Solutions (ATS) and Connectivity and Cloud Solutions (CC):

ATS: This segment serves customers in complex, regulated and high-reliability markets such as Industrial & Smart Energy, Aerospace & Defense, Semiconductor Capital Equipment, and HealthTech. It is engineering led, with deep expertise in design, manufacturing and lifecycle solutions.

CCS: This segment focuses on high-performance technology solutions and services for the data center, serving hyperscalers, digital native customers and enterprises. Celestica's Platform Solutions offering provides innovative and customizable computing, storage and networking solutions enabling AI-driven growth.

Built on a legacy of trust and performance, Celestica has earned its reputation by delivering results in complex and fast-changing markets. Celestica exceeds customer expectations by identifying trends and staying ahead of the curve. Backed by comprehensive capabilities and a global network across North America, Europe and Asia, Celestica helps customers gain competitive advantage with the quality, flexibility and resiliency they need to respond quickly to shifts in demand. Guided by a bold vision to accelerate market advancements, Celestica delivers innovative solutions and technologies that turn complexity into opportunity. Anchored in teamwork and commitment, Celestica strives to be the most trusted partner to its customers and colleagues worldwide.

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.

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More about this job

Responsibilities

The intern will architect and develop software, data pipelines, and automation tools to support manufacturing operations. They will also analyze data sets, manage cloud projects, and create technical documentation for global operations.

Requirements

Candidates must be currently enrolled in an Engineering or Computer Science program and have completed their 3rd year. Proficiency in Python, web development tools, and familiarity with cloud platforms and manufacturing environments is required.

Skills

Python
JavaScript
HTML
CSS
SQL
Data visualization
Automation
Cloud platforms
DevOps
Project management
Data analytics
Git
Linux
Docker
REST API

Benefits

Development programs
Time off to volunteer
Celebration events
Networking opportunities
Internal recognition programs
Mentorship

Visa sponsorship

Not detected in the job text

Keywords

Operations Technology
AI Solutions
Manufacturing
Data Pipeline
Automation
Dashboards
Cloud Computing
DevOps
Data Analytics
Python
JavaScript
HTML
CSS
SQL
Google Cloud Platform
Docker
Git
Linux
REST API
Project Management
Engineering
Computer Science
Mechatronics
Controlled Goods Program
Data Visualization
ETL Pipelines
Google Workspace
Apps Script
FastAPI
Machine Learning

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