Join us and take your career to the next level
As our SW Trainee, Perception, you'll immediately become a valued part of the Horizontal Transportation (HT) Automation R&D software team in Tampere. In this role, you'll contribute to current perception R&D activities including experimentation and software development involving various classical and state-of-the art computer vision methods to gain hands-on experience in applying them in real life applications.
This is a fixed-term position, located in Tampere. The trainee period typically runs from May to August, with exact timing to be mutually agreed upon with your manager.
What are your key responsibilities:
Build & Experiment: Execute day-to-day tasks/activities related to ongoing R&D projects and other experiments. These tasks may include for example software development, data collection and processing and machine learning model research.
Collaborate & Coordinate: Proactively communicate and participate in team day-to-day work by sharing your own work and providing feedback to others.
Learning & Development: Actively apply and acquire skills in the field of software development and machine learning related to computer vision applications.
Continuous Improvement: Proactively look for new and novel ideas on how to resolve different problems faced in your day-to-day work.
What we offer you:
"If you take the initiative, leaders are there to support your next step. The opportunity is real."
Rewards that truly count: A fixed monthly salary, determined by your completed study points, and an Edenred lunch benefit to support your daily well-being.
Safety that moves us forward: Build your career with a company rooted in safety since the 1940s, empower your voice to be heard, and support your professional development.
People who move together: Our open culture means you'll build valuable connections with global colleagues and clients. You'll have the opportunity to connect with fellow trainees through various activities and events.
Purpose that drives change: Our supportive leadership provides direction, but your expertise, creativity and commitment drive our progress.
Become part of our global network of 5,200 professionals across 120+ countries, where your work drives innovation, sustainability, and meaningful impact around the world.
What you bring to the role:
Educational Background: You are currently studying towards a B.Sc. or M.Sc. degree in Robotics, Machine Learning, Software Engineering, Computer Science, or an equivalent field, and are eager to apply your academic knowledge in a practical, hands-on environment.
Early Experience & Curiosity: Previous experience from similar roles, internships, student projects, or other coding projects is considered an advantage, but not required - your motivation, curiosity, and willingness to learn matter most.
Proactive & Learning-Oriented Mindset: You bring a positive, can-do attitude and are enthusiastic about developing your skills and capabilities in a talented team of computer vision, machine learning and software development experts.
Technical & Analytical Competencies: You have proficiency or practical knowledge in programming languages such as Python and/or C++, machine learning fundamentals and frameworks such as Pytorch, and basic Linux terminal and git skills. You are enthusiastic about learning new tools, methods, or technologies relevant to near real-time perception applications.
Strong Communication & Collaboration Skills: You communicate effectively in English and enjoy working collaboratively with others in a team-oriented, international environment.
Commitment to Safety & Values: You prioritize safe practices in all tasks and align with Kalmar's values of safety, collaboration, sustainability, and innovation.
Ready to elevate your career? Apply today!
If you are excited about this opportunity, please submit your application with your CV by the latest 6.3.2026! Interviews will be conducted on a rolling basis and the position will be filled as soon as possible when we find the right candidate.
If you have questions about the position, please contact Topi Haapatikka, Development Manager, Automation R&D on Wednesday 11th Feb between 10-11 EET and Tuesday 17th Feb between 12-13 EET at tel: +358 40 4111 481
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