Junior Embedded Systems Engineer
Junior engineer at Swedish deep-tech company ManoMotion in Stockholm, developing and deploying real-time AI/computer vision software on embedded platforms. Day to day: C++ and embedded Linux (e.g. NVIDIA Jetson) work, camera/sensor integration, hardware testing, and customer deployments alongside CV/ML engineers.
- Compensation
- Not disclosed
- Location
- Stockholm, SE
- Work setup
- Not specified
- Seniority
- Junior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Embedded
- Posted
Skills
Must have
- Master's degree in Embedded Systems, Mechatronics, Robotics, Electrical Engineering, or 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 lab 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
Nice to have
- 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
Full description
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.
Qualifications
Required 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.