Software Engineering Co-Op

PowerToFly

Burnaby

On-site

CAD 28,000 - 34,000

Part time

37 hours ago
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Job summary

EnerSys is an industrial technology leader serving the global community with mission critical stored energy solutions. This Software Engineering Co-op Student role supports edge analytics of power solutions and IoT electronics, working with R&D to build digital twin models and data-driven insights.

You will develop data analysis scripts, perform EDA, and document results while collaborating across software, API and embedded domains.

Qualifications

  • Enrolled in a Bachelor of Computer Science, Software Engineering, or Electrical Engineering program.
  • Basic knowledge of programming languages such as C, C#, Python and SQL.
  • Exposure to machine learning or predictive analytics
  • Familiarity with JavaScript/TypeScript and modern web technologies (e.g., React, HTML5, CSS3) is an asset.
  • Experience with or understanding of software testing concepts, including unit or automated testing, is an asset.
  • Strong communication and teamwork skills
  • Curiosity and willingness to learn new technologies
  • Attention to detail and ability to manage multiple tasks
  • Ability to translate data insights into actionable recommendations.

Responsibilities

  • Work with Research & Advanced Development team to create, evaluate digital twin models.
  • Develop and maintain data analysis scripts and dashboards.
  • Perform exploratory data analysis (EDA) to identify trends and insights.
  • Create test plan and perform detailed testing.
  • Document data models, code, and analysis results.
  • Support other software development activities including but not limited to APP, API and embedded software.
  • Contribute to a culture of collaboration by working with team members.

Job description

EnerSys®is an industrial technology leader serving the global community with mission critical stored energy solutions that meet the growing demand for energy efficiency, reliability and sustainability. We are driven by a passion to provide people everywhere with accessible power to help them work and live better. Our people are our strength, an endless resource for innovation, insight and enthusiasm.

This position will report to our EnerSys Energy Systems business, which servesthe telecom, cable broadband, industrial, renewable, and data center markets. Our portfolio combines our stored energy expertise with power systems, enclosures, and renewable energy products to deliver world-class solutions for diverse applications such as 5G, broadband, Internet of Things (IoT), data center, and solar power. Our cutting-edge technology includes Lithium batteries, Fault Managed Power Systems, and Extended Run Time battery backup systems that improve the reliability and resiliency of broadband networks.

EnerSys has over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwideheadquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. Some of our brands include PowerSafe, DataSafe, and Genesis batteries; Cordex power; and Outback Power renewable energy products. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products.

Compensation Range:$20.00 - $25.00 CAD

Compensation may vary based on applicant's work experience, education level, skill set, and/or location.

This is a current vacant position.

Job Purpose

As a result of our continuing growth, we require a Software Engineering Co-op Student to help support research and advanced development of edge analytics of state-of-the-art power solutions and IoT electronics circuits.

Essential Duties and Responsibilities
  • Work with Research & Advanced Development team to create, evaluate digital twin models,
  • Develop and maintain data analysis scripts and dashboards
  • Perform exploratory data analysis (EDA) to identify trends and insights.
  • Create test plan and perform detailed testing.
  • Document data models, code, and analysis results.
  • Support other software development activities including but not limited to APP, API and embedded software.
  • Contribute to a culture of collaboration by working with team members.
Qualifications
  • Enrolled in a Bachelor of Computer Science, Software Engineering, or Electrical Engineering program.
  • Basic knowledge of programming languages such as C, C#, Python and SQL.
  • Exposure to machine learning or predictive analytics
  • Familiarity with JavaScript/TypeScript and modern web technologies (e.g., React, HTML5, CSS3) is an asset.
  • Experience with or understanding of software testing concepts, including unit or automated testing, is an asset.
  • Strong communication and teamwork skills
  • Curiosity and willingness to learn new technologies
  • Attention to detail and ability to manage multiple tasks
  • Ability to translate data insights into actionable recommendations.
General Job Requirements
  • This position will work in an office setting, expect minimal physical demands.

EnerSys is committed to employment equity and fostering a workplace that respects and values diversity, inclusion, and dignity for all.
We provide equal employment opportunities to all employees and applicants, and strictly prohibit discrimination or harassment of any kind based on race, colour, religion, age, sex, national or ethnic origin, citizenship, disability, sexual orientation, gender identity or expression, marital or family status, or any other characteristic protected by applicableCanadian and provinciallaws".

We encourage applications from members of equity-deserving groups, including women, Indigenous Peoples, racialized persons, persons with disabilities, and members of the 2SLGBTQIA+ community.

Employment Equity / Diversity / Inclusion / Accessibility

We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.

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