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Co-op, Robotics Research – Data Engineering (OTTO at Rockwell Automation)

Waterloo, Ontario, Canada

Pay
$20–32/hour — pay source
This position is part of a job family. Experience will be the determining factor for position level and compensation. For this role, the compensation is from $20 - $32 hourly. Actual pay will be based on factors such as skills, knowledge, education, and experience. This posting is for an existing vacancy within our organization
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Rockwell

What you’ll work on

Full posting
  • Build data tooling and pipelines that integrate robot and perception data into the platform

  • Support dataset curation, slicing and active learning loops for model evaluation

  • Collect robot and perception datasets from LiDAR, cameras and other sensors

  • Organise perception datasets for model training and evaluation

  • Write clean, scalable code following software engineering best practices

From the employer’s posting
Build data tooling and pipelines to integrate robot and perception data into our platform.
These pipelines support dataset curation and ensure model evaluation workflows, including dataset slicing and active learning loops for continuous improvement.
Collect robot and perception datasets using LiDAR, cameras, and other sensors across a range of scenarios
Organise perception datasets, contributing to the creation of high-quality datasets for model training and evaluation.
Write clean, scalable, and code applying modern system programming languages and following software engineering best practices.

What you’ll bring

All qualifications

Core experience

  • Actively pursuing a bachelor's or advanced degree at an accredited university
  • Legal authorization to work in Canada required; no visa sponsorship
Qualification wording
Actively pursuing a bachelors or advanced degree at an accredited college or university.
Legal authorization to work in Canada is required.

Tools in this posting

  • AWS
  • Azure
  • Docker
  • Hugging Face
  • PyTorch
  • TensorFlow
Source — Tool mentions in context
- Exposure to foundation models such as Vision-Language-Models - Experience with cloud storage such as Azure, AWS, etc. - Experience with containerization tools such as Docker, Apptainer.
- Experience with cloud storage such as Azure, AWS, etc. - Experience with containerization tools such as Docker, Apptainer. - Experience with research, parsing academic publications, and literature review.
- Foundation in software development, with the ability to design clean, maintainable systems and quickly understand unfamiliar codebases. - Practical experience with PyTorch, Tensorflow, TensorRT, HuggingFace. - Exposure to simulation environments or synthetic data generation workflows.

Benefits in the posting

Full benefits wording
  • Health Insurance including Medical and Dental
  • Health Care Spending Account (HCSA – dependent on the plan chosen)
  • Retirement plans
  • Paid Time off
  • Volunteering Time off
  • Employer Paid DC Pension
  • Maternity and Parental Leave Top-Up
  • Fitness Reimbursement Program
  • This posting is for an existing vacancy within our organization
  • At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

From the employer’s posting.

Posting record

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Status in our records
Live
First seen by us
Sep 18, 2026 · 40 days ago
Recorded sightings
134
Last seen by us
Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on rockwellautomation.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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Job description

View original posting ↗

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!

Job Description

The Robotics Research Co-op is apart of the Robotics Centre of Excellence (RCoE). The RCoE is the "innovation engine" of Rockwell Automation robotics. We are a dynamic, research group dedicated pre-programmed automation and ushering in the new era of Autonomous Operations. Here, you'll work with world-class experts in a culture that prizes rapid prototyping and the desire to see "impossible" ideas working on the factory floor.

We are looking for a passionate Robotics Research Intern who is at the intersection of AI theory and hands-on implementation. You will work with senior researchers, gaining invaluable hands-on experience with modern embodied intelligence. Your work will centre on building data tooling and pipelines. These pipelines move, curate, and integrate data into our platform. They directly help develop perception and world models. We achieve this support through the use of machine learning frameworks.

*Relocation assistance is not available or provided for this role.

Your Responsibilities:

  • Build data tooling and pipelines to integrate robot and perception data into our platform. These pipelines support dataset curation and ensure model evaluation workflows, including dataset slicing and active learning loops for continuous improvement.

  • Collect robot and perception datasets using LiDAR, cameras, and other sensors across a range of scenarios, including both structured experiments and real-world deployments.

  • Organise perception datasets, contributing to the creation of high-quality datasets for model training and evaluation.

  • Write clean, scalable, and code applying modern system programming languages and following software engineering best practices.

  • Document your best practices and research through technical reports, white papers, and publications.

The Essentials - You Will Have:

  • Actively pursuing a bachelors or advanced degree at an accredited college or university.

  • Legal authorization to work in Canada is required. We will not sponsor individuals for employment visas, now or in the future for this job opening.

The Preferred - You Might Also Have:

  • Demonstrated experience working with datasets, including data processing, organisation, and curation to support machine learning workflows, with familiarity with common data quality issues and their mitigation.

  • Experience with Machine Learning concepts, vision and applied robotics contexts, with a focus on how data impacts model performance.

  • Hands-on experience working with robotics hardware and sensors.

  • Foundation in software development, with the ability to design clean, maintainable systems and quickly understand unfamiliar codebases.

  • Practical experience with PyTorch, Tensorflow, TensorRT, HuggingFace.

  • Exposure to simulation environments or synthetic data generation workflows.

  • Experience with ROS/ROS2

  • Experience with robotics principles including state estimation and 3D processing

  • Exposure to foundation models such as Vision-Language-Models

  • Experience with cloud storage such as Azure, AWS, etc.

  • Experience with containerization tools such as Docker, Apptainer.

  • Experience with research, parsing academic publications, and literature review.

What We Offer:

  • Health Insurance including Medical and Dental

  • Health Care Spending Account (HCSA – dependent on the plan chosen)

  • Employee Assistance Program (EAP)

  • Retirement plans

  • Paid Time off

  • Volunteering Time off

  • Employer Savings Plan Matching (includes RRSP, TFSA, and EPSP)

  • Employer Paid DC Pension

  • Maternity and Parental Leave Top-Up

  • Fitness Reimbursement Program

  • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.

This position is part of a job family. Experience will be the determining factor for position level and compensation.

For this role, the compensation is from $20 - $32 hourly. Actual pay will be based on factors such as skills, knowledge, education, and experience.

This posting is for an existing vacancy within our organization

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

#LI-Onsite

#LI-DNI

We are an Equal Opportunity Employer including disability and veterans. 

If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (519) 618-4899.

Source details

View original posting ↗

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Pay
This position is part of a job family. Experience will be the determining factor for position level and compensation. For this role, the compensation is from $20 - $32 hourly. Actual pay will be based on factors such as skills, knowledge, education, and experience. This posting is for an existing vacancy within our organization
Location & working pattern

Waterloo, Ontario, Canada

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

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