Software Engineering Intern

What you’ll do:

The Centre for Intelligent Power (CIP) is seeking interns to work within its multidisciplinary teams. If you are excited and inspired by the thought of contributing to a more sustainable global future, as well as bringing digitalization solutions and mindset to Eaton’s vast portfolio of products and services across multiple industries that our company operates.

You will be placed on one of 5 engineering teams with the opportunity to acquire skills in the following areas: Edge AI, Embedded Systems, Machine Learning, Cloud DevOps and Quality Assurance.

In this role you will:

• Be engaged as part of a multi-disciplinary international team focusing on design and development of experimental intelligent power systems.
• Learn about a wide range of analytics and Artificial Intelligence (AI) technologies for power management systems, including the associated data processing pipelines.
• Gain hands-on experience with the tools and approaches used as part of the design, development, and test processes.
• Work across the full software development lifecycle in an agile environment, attending all scrum team meetings.
• Develop clean, efficient, and reusable code using coding best practices.
• Get the opportunity to work on cutting edge technologies including:
  • Cloud Computing with Microsoft Azure
  • Software containerisation using Docker and Kubernetes
  • Data pipelining with Apache Spark
  • DevOps and MLOps
  • Internet of Things (IoT) and Edge Computing
  • Embedded Real-Time OS (RTOS) / Linux software development.

Qualifications:

Ongoing university studies (BSc/MSc) in Computer Science, Computer Engineering or similar

Skills:

• A basic technical background is required in addition to an interest and background in engineering or software development. The ideal candidate will be in pursuit of or a recent graduate of a degree or master’s in electronic or computer engineering, computer science or a related course.
• A team player with excellent communication skills, who is curious, proactive, conscientious and enjoys problem solving.
• Experience with a programming language such as C/C++, Python, R, MATLAB
• Familiarity with version control systems (Git) is desired.
• Data storage experience, SQL or NoSQL.
• A basic background in modelling and analysis, e.g., MATLAB and Simulink
• Familiarity with Internet of Things, embedded systems, cloud computing, connectivity and networking, communication protocols and security.
• Knowledge of end-to-end Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).

Soft Skills:

• Communication skills
• Team collaboration
• Adaptability
• Problem-solving mindset
• Growth mindset
• Time management