{"id":2928148,"url":"https://alion.io/job/manomotion-junior-embedded-system-engineer","title":"Junior Embedded System Engineer","company":{"id":697803,"name":"ManoMotion","domain":"manomotion.com","url":"https://alion.io/company/manomotion","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stockholm, Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Edge AI","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-10-20T08:25:16Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-24T07:15:18Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"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.\nWe 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.\nIn 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.\nQualifications\nRequired Qualifications\nMaster’s degree in Embedded Systems, Mechatronics, Robotics, Electrical Engineering, or a related technical field.\n\nExperience with C++ and/or Python through academic projects, internships, or professional work.\n\nGood understanding of embedded systems, software development, and hardware-software integration.\n\nFamiliarity with sensors, electronics, and basic laboratory equipment such as multimeters and oscilloscopes.\n\nAbility to develop, test, debug, and document software running on embedded hardware.\n\nStrong analytical and problem-solving skills with a hands-on engineering mindset.\n\nGood communication skills and ability to collaborate in a multidisciplinary engineering team.\n\nProficiency in written and spoken English.\n\nPreferred Qualifications\nExperience with embedded Linux, particularly NVIDIA Jetson platforms.\n\nFamiliarity with RGB, infrared, or depth cameras and sensor integration.\n\nBasic understanding of computer vision, machine learning, or AI model deployment on embedded devices.\n\nExperience with real-time processing, performance optimization, or edge AI applications.\n\nFamiliarity with Git, debugging tools, and software testing on physical hardware.\n\nExperience with robotics, automation, industrial systems, or human-machine interaction.\n\nPrevious hands-on experience through internships, research projects, or personal engineering projects.\n\nWhat We Value\nCuriosity and enthusiasm for AI, embedded technologies, and solving real-world engineering challenges.\n\nA proactive attitude, willingness to learn, and ability to take ownership of technical tasks.\n\nComfort working in a small, fast-moving team where you can make a meaningful 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