Experienced Computer Vision Engineer

<p></p><p><em>Do you want to work with advanced computer vision algorithms that run in real vehicles shortly after your work being committed? Do you enjoy solving real-world challenges using C++, geometry, and rich sensor data from cameras and LiDAR? Are you looking for a place where your code reaches real vehicles fast, collaboration and teamwork are at the core, and your ideas help shape the future of intelligent systems and physical AI?</em></p><h4>Insights from the team</h4><p>We develop solutions for calibration, vehicle motion estimation, and precise positioning using data from cameras and LiDAR, bringing perception to life in real‑world driving scenarios. Our work blends mathematical modeling, geometric computer vision, and modern C++ with practical testing in vehicles. We continuously evaluate and refine our algorithms through performance metrics, visualization tools, and diverse real‑world datasets collected across teams.</p><p>As a team, we value curiosity, collaboration, and an evidence-driven approach. We share knowledge openly, challenge ideas constructively, and focus on turning theory into robust features that run reliably on embedded systems. Working in a hybrid setup, we support each other in staying grounded, practical, and accountable while delivering results that matter.</p><h4><strong>Your mission and day-to-day tasks</strong></h4><p><span>In this role, you will design, implement, and refine algorithms that improve and sharpen our perception stack. You’ll work across the full development cycle, from early concept exploration to testing in simulation, HIL setups, and real vehicles. Collaborating closely with experts in computer vision, deep learning, and platform engineering, you’ll help shape product direction while keeping performance, reliability, and safety at the core.</span></p><p><strong>Typical tasks on a day to day include: </strong></p><ul><li><p>Developing new and improving existing algorithms and solutions for camera and LiDAR based real-time calibration and localization.</p></li><li><p>Developing geometric computer vision algorithms, including visual odometry, calibration, localization, and 3D reconstruction.</p></li><li><p>Driving product development from proof of concept and requirements through implementation, review, integration, and testing.</p></li><li><p>Writing and reviewing production-grade C++ for safety-critical, real-time systems running on Linux.</p></li><li><p>Running experiments and evaluations in HIL environments and in-vehicle testing.</p></li><li><p>Building tools in Python to monitor, evaluate, and visualize algorithm behavior.</p></li><li><p>Reading research, building proofs of concept, and transforming findings into production-ready code.</p></li></ul><h4><strong>What’s in it for you</strong></h4><ul><li><p>Work with cutting-edge tech at one of Sweden’s most interesting, challenging, and innovative AI/ML companies.</p></li><li><p>Collaborate with highly skilled, innovative, creative, and smart people.</p></li><li><p>Work with people from all over the world, close to where science is becoming real-world technology.</p></li><li><p>Enjoy a flexible work approach and a genuinely good work-life balance.</p></li></ul><h4>Qualifications & experience</h4><p>You bring several years of experience developing algorithms in complex products, and you enjoy balancing practical engineering with solid mathematical reasoning. You thrive in collaborative environments, take initiative, and like turning ideas into measurable results. You appreciate clear communication, shared ownership, and supporting your teammates.</p><p>You are comfortable navigating challenges, learning new concepts quickly, and seeing the bigger picture across system boundaries.</p><p><span><strong>Essential experience</strong></span></p><ul><li><p>Solid C++ programming skills, with the ability to write performant, testable, and maintainable code.</p></li><li><p>A background in computer vision, robotics, software engineering, computer science, electrical engineering, or a related field.</p></li><li><p>Several years of relevant industry experience, hopefully across multiple development cycles.</p></li><li><p>Experience integrating software into complex products.</p></li><li><p>Ability to work with mathematics relevant to geometric computer vision.</p></li><li><p>Demonstrated ability to apply research or theoretical ideas in practice.</p></li></ul><p><span><strong>Nice-to‑have, but not essential</strong></span></p><ul><li><p>Industrial computer vision experience.</p></li><li><p>Experience in system design, requirements management, or software architecture.</p></li><li><p>Background from related industries such as robotics, aviation, defense, medical devices, automotive, trucks, construction equipment, computer graphics, or 3D game development.</p></li><li><p>Python experience for tooling and analysis.</p></li><li><p>Experience from using and evaluating deep learning models within computer vision</p></li><li><p>GPU programming (CUDA), computer graphics, or embedded software experience.</p></li><li><p>Expe