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Baseband System Developer Co-op

  • Ottawa, ON
  • On-site
  • Posted Oct 9, 2026
  • 1 position

$26–$41 / hour

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Employment type
Internship / apprenticeship, Full-time
Experience level
Entry, Junior · 0+ years
Minimum education
Bachelor’s degree
Posting language
English
Working hours
40 hours per week

Job summary

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.

Job details

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

What you’ll do

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.

Listed skills

  • Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • 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
  • Large Language Modeling
  • Transformer (Machine Learning Model)
  • Long Short-Term Memory (LSTM)
  • Federated Learning
  • Generative Adversarial Networks
  • Data Preprocessing
  • 5G Technology
  • 3GPP (Telecommunication)
  • LTE (Telecommunication)
  • Research
  • Artificial Intelligence
  • Algorithms
  • Software Development
  • Communication
  • Innovation
  • Problem Solving
  • Physical Layers
  • Machine Learning
  • Support Vector Machine
  • Wireless Communications
  • Reinforcement Learning
  • Feature Engineering
  • Random Forest Algorithm
  • Deep Learning
  • Keras (Neural Network Library)
  • PyTorch (Machine Learning Library)
  • Machine Learning Frameworks

Job areas

  • Technology
  • Engineering
  • Software
  • Science & Research
  • Data & Analytics
  • Developer Co-Op
  • Software Developer / Engineer
  • Software Developers

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