Junior Embedded System Engineer

ManoMotion is a Swedish deep-tech company developing cutting-edge AI and computer vision technologies that enable machines to understand human movements and intentions. Our solutions are applied across industrial safety, robotics, and human-machine interaction.
We are looking for a Junior Embedded Systems Engineer to join our engineering team and contribute to the development and deployment of real-time AI-powered solutions on embedded platforms.
In this role, you will work with C++, embedded Linux, camera systems, and AI model integration, collaborating closely with our computer vision and machine learning engineers. You will contribute to software development, hardware integration, system testing, and real-world customer deployments.
QualificationsRequired Qualifications
Master’s degree in Embedded Systems, Mechatronics, Robotics, Electrical Engineering, or a related technical field.


Experience with C++ and/or Python through academic projects, internships, or professional work.


Good understanding of embedded systems, software development, and hardware-software integration.


Familiarity with sensors, electronics, and basic laboratory equipment such as multimeters and oscilloscopes.


Ability to develop, test, debug, and document software running on embedded hardware.


Strong analytical and problem-solving skills with a hands-on engineering mindset.


Good communication skills and ability to collaborate in a multidisciplinary engineering team.


Proficiency in written and spoken English.

Preferred Qualifications
Experience with embedded Linux, particularly NVIDIA Jetson platforms.


Familiarity with RGB, infrared, or depth cameras and sensor integration.


Basic understanding of computer vision, machine learning, or AI model deployment on embedded devices.


Experience with real-time processing, performance optimization, or edge AI applications.


Familiarity with Git, debugging tools, and software testing on physical hardware.


Experience with robotics, automation, industrial systems, or human-machine interaction.


Previous hands-on experience through internships, research projects, or personal engineering projects.

What We Value
Curiosity and enthusiasm for AI, embedded technologies, and solving real-world engineering challenges.


A proactive attitude, willingness to learn, and ability to take ownership of technical tasks.


Comfort working in a small, fast-moving team where you can make a meaningful contribution.