Karelics is a robotics software company located in Joensuu. We develop software to enable intelligent autonomous robots in the construction industry. Our ambition is to allow robots to work intelligently and safely with people. …or without people.
We are looking for proactive students and learners eager to start their careers in robotics with an internship in our company during the summer of 2024. You will join the development team of our Karelics Brain product in our office in Joensuu, Finland. The ideal candidate should have some engineering or computer science background, a natural curiosity towards robotics and AI, and a drive for continuous learning!
What will be some of your day-to-day responsibilities:
- You will work in a team of motivated professionals
- You will learn the ropes of real robotics engineering: what it takes, the bigger picture, and what you need to know to build successful robotic products.
- You will be involved in all aspects of developing real robotic solutions, from hardware to software and from idea to implementation and testing.
- You will learn how to develop robust software using ROS 2 and its client libraries (either rclpy - Python or rclcpp - C++) and a wide range of development tools and libraries that will turn you into a complete robotics professional.
- You will learn what it takes to work in a professional environment as part of a team of experts with diverse skills and backgrounds.
- You will develop software to manage robots on construction sites.
- You might occasionally contribute to open-source projects and integrate these projects into the Karelics ecosystem.
- You will get to work on exciting new features for our products, which you will deploy and test on real robots working on construction sites.
Apply for this role if most of the things listed below fit your profile:
- You hold a Bachelor’s degree (or are about to graduate) in a technical field such as computer science, computer engineering, robotics, artificial intelligence, etc
- You have a passion for building robots and robotic systems.
- You have some experience (personal or university projects or experience in other technical positions are a big plus) with Python or C++.
- You have a proactive attitude towards debugging and solving problems.
- You have strong communication skills in English (verbal and written).
- You are a team player, always willing to help those around you, share your knowledge and experiences, teach others, and generally contribute to the well-being of the team and the work environment.
- You have a “get-things-done” mentality, always searching for the best solution to a problem and constantly striving to improve the quality of your work.
It would be fantastic if you:
- Hold or have started a Master’s degree in a technical field such as Computer Science, AI, Robotics, or something related.
- Have worked before (even on personal projects) with robotics, simulation tools and environments, microcontrollers, embedded systems, and various kinds of sensors (ultrasonics, lidars, depth cameras, etc.)
- Are naturally interested in (or have experience with) AI, Computer Vision, AI vision models used in robotics, deployment of custom AI models at the edge, on robotic systems, training and testing AI models.
We are offering:
- Flexible working hours, with the possibility to work from home and the office.
- Vacation days.
- Support in your professional growth.
- Working in a team of experienced professionals from diverse backgrounds, from whom you can learn and with whom you can exchange plenty of ideas and experiences.
- Company events (hangouts, board-game evenings, sports activities such as skiing, tennis, football, etc.).
- A healthy work environment where we always put first the happiness and well-being of our colleagues, in which you can learn and grow as a robotics engineering professional.
We are accepting applications until the 31st of January, 2024. Expect to receive an answer by the end of February 2024!
Please send us your CV and a cover letter at firstname.lastname@example.org.
Please also attach some practical examples of code or projects you have worked on.