ManoMotion AB

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.

About the Role ManoMotion is looking for a highly skilled Computer Vision Engineer to develop robust, high-performance vision solutions for real-world applications. Our AI Engineers manage the day-to-day work related to neural-network architecture, training, testing, and data management. This role will work closely with them while focusing more deeply on the complete computer-vision system. You will combine machine learning with advanced image analysis, detection, tracking, geometry, filtering, and algorithmic methods to improve the accuracy, stability, latency, and reliability of our products. We are looking for someone who understands that a production-ready vision solution often requires more than a neural network. You should be able to identify model limitations and build additional processing, tracking, filtering, calibration, and decision logic around the AI models to achieve a reliable final product. You will also take technical ownership of customer solutions, from understanding requirements and designing the system to implementation, deployment, and validation. Responsibilities Design complete computer-vision solutions combining AI/ML, image processing, tracking, geometry, and rule-based algorithms. Develop algorithms for image analysis, object detection, segmentation, motion analysis, pose estimation, and tracking. Build pre-processing and post-processing layers around AI models to improve accuracy, stability, and robustness. Analyse failure cases and determine whether they should be addressed through model improvements, additional data, tracking, filtering, image processing, or system-level logic. Work closely with AI Engineers responsible for model architecture, training, testing, and datasets. Integrate trained models into reliable, real-time computer-vision systems. Optimize vision pipelines for latency, frame rate, memory usage, and edge hardware. Take end-to-end technical ownership of customer solutions and integrations. Participate in customer meetings, technical workshops, demonstrations, and on-site validation. Build maintainable, testable, and production-quality software. Use modern AI-assisted development tools such as Cursor, Claude, ChatGPT, Copilot, and other relevant tools to accelerate development, testing, debugging, and documentation. Stay updated on advances in computer vision, machine learning, and AI-assisted software development. Key Qualifications Master’s degree, PhD, or equivalent professional experience in Computer Science, Computer Vision, Electrical Engineering, Robotics, Machine Learning, or a related field. At least 3 years of professional experience developing computer-vision or AI-based products. Strong practical knowledge of image processing, object detection, segmentation, tracking, motion analysis, geometry, and camera systems. Good understanding of deep learning, neural-network training, model evaluation, and data management. Proven ability to combine machine-learning models with traditional computer-vision algorithms and system-level logic. Strong programming skills in Python and experience with OpenCV, NumPy, PyTorch, TensorFlow, or similar frameworks. Good knowledge of C++ and high-performance software development. Experience deploying and optimizing models using technologies such as ONNX, TensorRT, CUDA, OpenVINO, or similar tools. Experience developing real-time vision systems for edge devices or computationally constrained hardware. Strong debugging, problem-solving, and software-engineering skills. Ability to work independently and take ownership of complex technical solutions. Excellent English communication skills and confidence interacting directly with customers. Preferred Qualifications Experience with object tracking, temporal filtering, sensor fusion, or multi-camera systems. Experience with camera calibration, 3D geometry, depth estimation, or pose estimation. Experience with NVIDIA Jetson or other embedded GPU platforms. Experience in industrial, robotics, automotive, safety, or human-machine interaction applications. Experience working with challenging real-world conditions such as occlusion, poor lighting, motion blur, and changing environments. Experience with Docker, CI/CD, cloud platforms, MLOps, or model monitoring. The Profile We Are Looking For You are a strong problem-solver who enjoys turning advanced computer-vision technology into dependable products. You understand AI models and training, but your main strength is designing the complete system around the model. When the neural network alone is not enough, you know how to add tracking, filtering, image processing, geometric reasoning, calibration, and decision logic to make the final product work reliably. You are comfortable working across algorithms, software, hardware constraints, and customer requirements, and you take ownership of the overall result.

Are you passionate about AI, digital marketing, and building smart systems that drive real business growth? We are looking for a tech-savvy and curious intern to help us scale our marketing and sales efforts using modern AI tools and automation. This is a hands-on opportunity to work directly with cutting-edge platforms and learn how AI is transforming lead generation, customer acquisition, and content creation. WHAT YOU’LL DO * Support the setup and optimization of automated sales pipelines * Use tools like Apollo, Pipedrive, and AI agents to identify and generate leads * Build and improve workflows for finding and qualifying new customers * Assist in creating AI-driven marketing content (emails, posts, campaigns) * Research and test new AI tools for marketing and growth * Help streamline outreach and customer engagement processes WHAT YOU’LL GAIN * Real-world experience with AI in marketing and sales * Hands-on exposure to modern growth tools and automation systems * Opportunity to shape and improve real business processes * Mentorship and learning in a fast-evolving AI-driven environment WHO YOU ARE * Curious, proactive, and eager to learn * Interested in AI, startups, and digital marketing * Comfortable experimenting with new tools and technologies * Detail-oriented with a problem-solving mindset If you’re excited about working at the intersection of AI, marketing, and automation—we’d love to hear from you!

About project: ManoMotion is looking for a passionate and innovative intern or master thesis student in Computer Vision, Machine Learning or relevant subjects to work on a project related to 3D hand tracking and gesture recognition using vision based technologies and machine learning solutions for a duration of three to six months. The expected outcome of the project will be implementations of the developed methods for real time interaction in XR applications. Required skills * Master level education or similar level of experience in computer science, computer vision, machine learning, image analysis or similar subjects. * Background knowledge in development of the vision-based solutions with machine learning/deep learning tools and frameworks. * Strong coding skills in Python or C++. * Familiar with computer vision, specifically object detection and tracking methods. * Self-driven problem solver with a strong sense of teamwork. About ManoMotion: ManoMotion is a Deep Tech company based in Stockholm, Sweden. We are a diverse team of Computer Vision and Machine Learning Scientists and creative software engineers, specialists in stretching the borders of what is technically possible to decipher from a camera. ManoMotion brings unparalleled intuition in human-machine interactions, refined through more than 12 years of research in gesture technology with a number of inventions and international awards. We have developed a core technology framework to achieve precise hand tracking and gesture recognition in 3D-space simply using a regular camera available on any smart device!