Hiring.Camp

Technology and System Management Student

Ericsson

·

Today

Salary
$25 – $34
Location
Ottawa, ON,CA, CA
Type
Full-time
Department
IT
Education
Master
Source
Eightfold

Description

## Join our Team

Location: Ottawa, Ontario

Duration: 12 to 16 months

Start date: Jan 2027

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

About this opportunity:

We are looking for a highly motivated Co-op Student to join our Radio Architecture and Functions team in Ottawa. The position offers a unique opportunity to work on advanced wireless communication technologies, machine learning applications, and signal processing algorithms for next-generation radio systems.

You will collaborate with experts across Canada and Sweden and gain hands-on experience in algorithm development and/or data analytics.

## What you will do:

  • Work with team members to develop and implement efficient Algorithms (including machine learning) for radio products.
  • Analyze field data for Ericsson product performance in customer networks.
  • Develop Simulation strategies and methodologies and follow through with execution.
  • Set up Prototype software and hardware test beds, systems, and environments.
  • Execute HW/SW tests in a lab environment and gather data for analysis.
  • Perform data and result analysis by extracting relevant content from test results and data log files.
  • Work closely in a hands-on manner with hardware and systems designers.
  • Assist in formal documentation of requirements and traceability.
  • Assist in troubleshooting and solving product issues.
  • Participate in team product/process reviews.

The skills your bring:

  • Currently pursuing a Bachelor's or Master's degree in:
  • Electrical Engineering
  • Computer Engineering
  • Computer Science
  • Wireless Communications
  • Signal Processing
  • Artificial Intelligence / Machine Learning or a related field.
  • Programming experience in Python and/or C/C++
  • Knowledge of machine learning frameworks such as PyTorch, TensorFlow, Keras, or scikit-learn.
  • Understanding of signal processing fundamentals
  • Knowledge of wireless communication systems.
  • MATLAB experience.
  • Familiarity with Linux development environments
  • Experience with FPGA, DSP, or embedded systems
  • Experience with lab equipment such as signal generators and spectrum analyzers.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.

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 [email protected].

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

  • $25.5 - $34.5 CAD

Skills

PythonMATLABLinuxMachine LearningTensorFlowPyTorchScikit-learn

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