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Added 13 mins ago
HB
Assistant Store Manager - BOSS Outlet, Halton Hills
HUGO BOSS Canada, Inc.
Halton Hills, ON
- Other
Do you feel it’s time for a new challenge at HUGO BOSS? If so, we look forward telling you all about this job opportunity in a personal conversation.
Added 13 mins ago
Software Dev Engineer, AFFS - ARS (Amortization Runtime Subledger)
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Added 13 mins ago
RB
Senior Cyber Security Network Analyst (Global Security)
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- Full-time
…intended to foster a workplace based on respect, belonging and opportunity for…
Added 27 mins ago
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Registrar, Land Titles
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Whitehorse, YT
- Full-time
…resume. Please include the month and year you started and ended a job when you list your work experience. This allows us to accurately calculate the length of time you were in the…
Added 27 mins ago
A
Account Manager / Onboarding Specialist
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- Full-time
Guide users through Appello's modules such as timesheets, safety certifications, job setup, and union-compliant reporting
Added 27 mins ago
LC
Associate Faculty - Clinical Nursing
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Retail Sales Associate
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Added 27 mins ago
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Added 27 mins ago
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Added 27 mins ago
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Added 27 mins ago
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Added 27 mins ago
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Added 27 mins ago
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Added 27 mins ago
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Job IDde6d5ffe-be5f-4e8e-8c41-de79aecf7e22Last Updated24/09/2026
Added 27 mins ago
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Technician I (Tiverton, ON, CA)
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Added 45 mins ago
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Ericsson

Baseband System Developer Co-op

Ottawa, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Working hours: 40 hours per week
Posting language: English
Posted: Oct 8, 2026

Original job description

Grow with us

Baseband System Developer Co-op

Location: Ottawa, ON. Duration: 8 – 16 months (for co-ops) Start date: January 11th, 2027

Please upload your unofficial transcript when applying. (Use the "Cover letter" uploading tab.) Please indicate in your resume or a cover letter how many months you are available for.

At this time, Ericsson Canada Inc. does not provide immigration assistance/sponsorship now or in the future for this position.

About this opportunity:

As the tech firm that was instrumental in creating the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead, and perform at your best, shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Come and be where it begins!

What you will do:

Apply supervised and/or reinforcement learning algorithms to address complex challenges in 5G Wireless Physical Layer and Radio Resource Management
Collaborate with subject matter experts to improve the performance of AI-integrated system-level wireless simulators
Research new software development tools and technologies, and support implementation in alignment with industry best practices
Contribute to innovation initiatives, including Ericsson Invention Disclosures and Patents

The skills you bring:

Knowledge of wireless communications and machine learning
Experience with ML techniques such as reinforcement learning, federated learning, deep learning, GAN, DQN, LSTM, SVM, or random forest
Understanding of Transformer architecture, its variants, and practical applications
Familiarity with Large Language Models (LLMs)
Experience with ML frameworks such as TensorFlow, PyTorch, or Keras
Experience in data preprocessing, cleaning, and feature engineering
Experience with system-level cellular communication simulators
Basic understanding of LTE and NR 3GPP specifications (Physical Layer, Radio Resource Management, Mobility)
Strong analytical, problem-solving, and communication skills
Ability to work effectively both collaboratively and independently

Eligibility requirements:

2.7+ GPA on a 4.0 scale or equivalent
Uploading an unofficial copy of your transcript
Actively enrolled in an accredited undergraduate, master’s, or PhD on a full-time basis at a four-year college or university at the time of the co-op
Be available to work 40 hours per week

What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.

Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.

If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.

DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

Primary country and city: Canada (CA) || Ottawa (Country/ City)

Job details: Developer

Compensation and Benefits at Ericsson
At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.

Your Pay
The salary offered is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.

The salary range for this position is:

Bachelors: $25.5/hr CAD - $34.5/hr CAD Masters: $37/hr CAD PhD: $41/hr CAD

Apply About employer

More about this job

Responsibilities

Apply machine learning algorithms to address complex challenges in 5G wireless physical layer and radio resource management. Collaborate with subject matter experts to enhance AI-integrated system-level wireless simulators and contribute to innovation initiatives.

Requirements

Candidates must be actively enrolled in an accredited undergraduate, master’s, or PhD program with a minimum 2.7 GPA. Applicants should possess knowledge of wireless communications, machine learning frameworks, and cellular communication simulators.

Skills

Wireless communications
Machine learning
Reinforcement learning
Federated learning
Deep learning
Transformer architecture
Large language models
TensorFlow
PyTorch
Keras
Data preprocessing
Feature engineering
LTE
3GPP
Physical layer
Radio resource management

Visa sponsorship

Not detected in the job text

Keywords

5G
Wireless communications
Machine learning
Reinforcement learning
Federated learning
Deep learning
GAN
DQN
LSTM
SVM
Random forest
Transformer architecture
Large language models
TensorFlow
PyTorch
Keras
Data preprocessing
Feature engineering
LTE
NR
3GPP
Physical layer
Radio resource management
Wireless simulators
Software development
Invention disclosures
Patents
Co-op

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