Junior Embedded System Engineer

ManoMotion

. Develop and deploy real-time AI-powered solutions on embedded platforms .

Posted 10/20/2026full-timeStockholm • SwedenJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI-powered solutions on embedded platforms, with strong capabilities in C++, embedded Linux, and hardware-software integration. Proficient in collaborating with multidisciplinary teams and applying analytical problem-solving skills in real-world applications.

Highest-signal resume keywords

C++ ProgrammingEmbedded LinuxHardware-Software IntegrationComputer VisionMachine Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C++PythonEmbedded SystemsSoftware DevelopmentDebuggingReal-Time ProcessingPerformance OptimizationAI Model DeploymentSensor IntegrationRobotics

Soft Skills

Analytical SkillsProblem-SolvingCommunicationCollaboration

Tools & Technologies

NVIDIA JetsonMultimetersOscilloscopesGitDebugging Tools

Industry Keywords

Embedded SystemsMechatronicsRoboticsAutomationIndustrial SystemsHuman-Machine Interaction

Tech Stack

Tools & technologies

LinuxPythonC++

About the role

Key responsibilities & impact

Develop and deploy real-time AI-powered solutions on embedded platforms
Work with C++, embedded Linux, camera systems, and AI model integration
Collaborate closely with computer vision and machine learning engineers
Contribute to software development, hardware integration, system testing, and real-world customer deployments

Requirements

What you’ll need

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: Experience with embedded Linux, particularly NVIDIA Jetson platforms
Preferred: Familiarity with RGB, infrared, or depth cameras and sensor integration
Preferred: Basic understanding of computer vision, machine learning, or AI model deployment on embedded devices
Preferred: Experience with real-time processing, performance optimization, or edge AI applications
Preferred: Familiarity with Git, debugging tools, and software testing on physical hardware
Preferred: Experience with robotics, automation, industrial systems, or human-machine interaction
Preferred: Previous hands-on experience through internships, research projects, or personal engineering projects