{"data":{"id":201076,"slug":"embedded-computer-vision-developer","type":"job","title":"Embedded Computer Vision Developer","description":"As a Machine Vision Innovation Center, SICK Link\u00f6ping develops high-performance cameras and advanced AI-powered software that drive the future of both manufacturing and logistics automation. Whether it's helping robots pick the right item or enabling high-precision quality control with 2D and 3D vision, our solutions bring clarity, speed, and smart decision-making to complex industrial environments. With 100 passionate colleagues in Link\u00f6ping \u2013 and backed by a global team of 10,000 with headquarters in Germany \u2013 we create technology that powers safer, smarter, and more efficient industries worldwide.\nWhat we offer you\nYou will be part of a team focused on computer vision, image analysis, deep learning, algorithms, and modeling. The team is at the forefront of innovation, applying the latest research to transform insights into practical products for our customers. We specialize in edge learning methods, bringing AI closer to the edge by embedding learning capabilities directly into the device.\nWhat you will do\nIn this role, you will collaborate closely with your team in an embedded Linux environment, primarily using C++. Your main responsibility will be to develop high-performance algorithms for our 2D and 3D embedded cameras, ensuring efficient implementation to optimize performance. You will contribute to building some of the most advanced cameras on the market.\nYour role will also include:\nImage processing and analysis to interpret and adapt algorithms, ensuring effective use in embedded 2D and 3D camera systems.\nClose collaboration with colleagues across the product development organization, working with both hardware and software teams locally and globally.\n\nIf you would like to explore our work further, some of the team's algorithmic work is demonstrated in this video:\nAnomaly Detection with the Inspector83x from SICK\nWho do we believe you are?\nWe believe you enjoy working in a team to solve challenges and are curious to understand the real objectives behind each task. You are a person who's not only eager to take initiative, experiment, and explore new solutions, but also someone who brings a structured and quality-focused approach to your work. Above all, you bring a humble and open attitude, as we believe that a genuine and down-to-earth mindset is key to the success of our team.\nTo thrive in this role, we believe you have:\nA degree in computer science or similar, and preferably a master's degree in a relevant field.\nGood knowledge of C++ and embedded development.\nKnowledge of Computer Vision and an understanding of signal and\/or image processing.\nExperience working with efficient implementations on embedded systems, e.g. with SIMD instructions, or other means of acceleration is an advantage.\n\nWho are we?\nWe give vision to automation \u2013 and intelligence to machines.\nWe are very proud of being a healthy and attractive workplace. We have consistently been recognized as one of the best workplaces in Sweden according to the Great Place to Work survey. We actively work to reduce our climate footprint and engage in various initiatives to contribute to society and enhance diversity at our workplace.\nContact\nFor more information about the position, please contact Daniel Rydstr\u00f6m, Manager R&D Algorithm Team, at daniel.rydstrom@sick.com or +46 (0)13 36 21 41, or our People Partner Sandra Bauer at sandra.bauer@sick.de. Please submit your application no later than October 4th. We review applications on an ongoing basis, and the position may be filled before the application deadline. Therefore, we encourage you to submit your application as soon as possible.","language":"sv","is_translated":true,"title_original":"Embedded Computer Vision Developer","description_original":"As a Machine Vision Innovation Center, SICK Link\u00f6ping develops high-performance cameras and advanced AI-powered software that drive the future of both manufacturing and logistics automation. Whether it\u2019s helping robots pick the right item or enabling high-precision quality control with 2D and 3D vision, our solutions bring clarity, speed, and smart decision-making to complex industrial environments. With 100 passionate colleagues in Link\u00f6ping \u2013 and backed by a global team of 10,000 with headquarters in Germany \u2013 we create technology that powers safer, smarter, and more efficient industries worldwide.\u202f\nWhat we offer you\nYou will be part of a team focused on computer vision, image analysis, deep learning, algorithms, and modeling. The team is at the forefront of innovation, applying the latest research to transform insights into practical products for our customers. We specialize in edge learning methods, bringing AI closer to the edge by embedding learning capabilities directly into the device.\nWhat you will do\nIn this role, you will collaborate closely with your team in an embedded Linux environment, primarily using C++. Your main responsibility will be to develop high-performance algorithms for our 2D and 3D embedded cameras, ensuring efficient implementation to optimize performance. You will contribute to building some of the most advanced cameras on the market.\nYour role will also include:\u202f\u202f\nImage processing and analysis to interpret and adapt algorithms, ensuring effective use in embedded 2D and 3D camera systems.\nClose collaboration with colleagues across the product development organization, working with both hardware and software teams locally and globally.\n\nIf you would like to explore our work further, some of the team's algorithmic work is demonstrated in this video:\nAnomaly Detection with the Inspector83x from SICK\nWho do we believe you are?\u00a0\nWe believe you enjoy working in a team to solve challenges and are curious to understand the real objectives behind each task. You are a person who\u2019s not only eager to take initiative, experiment, and explore new solutions, but also someone who brings a structured and quality-focused approach to your work. Above all, you bring a humble and open attitude, as we believe that a genuine and down-to-earth mindset is key to the success of our team.\nTo thrive in this role, we believe you have:\nA degree in computer science or similar, and preferably a master's degree in a relevant field.\nGood knowledge of C++ and embedded development.\nKnowledge of Computer Vision\u202fand an understanding of signal and\/or image processing.\nExperience of working with effecient implementations on embedded systems, e.g. with SIMD instructions, or other means of acceleration is an advantage.\n\nWho are we?\nWe give vision to automation \u2013 and intelligence to machines.\nWe are very proud of being a healthy and attractive workplace. We have consistently been recognized as one of the best workplaces in Sweden according to the Great Place to Work survey. We actively work to reduce our climate footprint and engage in various initiatives to contribute to society and enhance diversity at our workplace.\u202f\u202f\nContact\u202f\u202f\nFor more information about the position, please contact Daniel Rydstr\u00f6m, Manager R&D Algorithm Team, at daniel.rydstrom@sick.com or +46 (0)13 36 21 41, or our People Partner Sandra Bauer at sandra.bauer@sick.de.Please submit your application no later than October 4th. We review applications on an ongoing basis, and the position may be filled before the application deadline. Therefore, we encourage you to submit your application as soon as possible.","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":"Wallenbergs gata 4","full_address":null,"city":"Link\u00f6ping","country":"SE","latitude":58.396529409448,"longitude":15.563804332852},"metadata":{"region":"\u00d6sterg\u00f6tlands l\u00e4n","duration":"Tills vidare","employer":"SICK IVP Aktiebolag","postcode":"58330","positions":1,"profession":"Mjukvaruutvecklare","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","scope_of_work":"100\u2013100 %","working_hours":"Heltid","employment_type":"full_time","occupation_field":"Data\/IT","employer_workplace":"SICK IVP","experience_required":true,"employment_type_label":"Vanlig anst\u00e4llning"},"user_id":null,"is_sponsored":false,"views_count":0,"ai_views_count":7,"bot_views_count":3,"ai_vendor_counts":{"meta":4,"openai":1,"anthropic":2},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":"13 36 21 41","owner_email":"daniel.rydstrom@sick.com","images":[],"published_at":"2026-09-08T14:10:50+00:00","expires_at":"2026-10-05T23:59:59+00:00","created_at":"2026-09-09T03:27:25+00:00","updated_at":"2026-09-16T02:57:37+00:00"}}