Senior Computer Vision Engineer

ph3Overview /h3 /brpWe are looking for a Senior Computer Vision Engineer to build and deploy perception systems that run onboard autonomous aerial platforms. This is not offline research. Our algorithms run in real time on embedded computers, in the air, in conditions we do not control. /p /br /brpYou will work across the full stack of the problem: classical computer vision and deep learning, camera and sensor selection, calibration, model training and evaluation, and optimization for constrained hardware. You will take your work to the field, fly it, look at the logs, and improve it. Our platforms serve both commercial and government customers across applications including inspection, mapping, search and rescue and security. /p /br /brpIf you like hard real world problems and short feedback loops between an idea and a flight test, we want to talk with you. /p /br /brh3Responsibilities and Duties /h3 /brul /brliDesign, implement and optimize onboard perception algorithms for real time detection, temporal association and state estimation of dynamic objects from a moving platform. /li /brliTrain, retrain and evaluate neural networks for detection and classification, including dataset curation, labelling strategy and evaluation methodology. /li /brliOptimize models and pipelines for embedded inference, working to explicit latency, throughput and compute budgets. /li /brliDevelop and maintain camera calibration and sensor synchronization procedures, including multi camera and multi sensor setups. /li /brliCombine visual measurements with inertial and platform state data using filtering and estimation techniques for robust performance under egomotion. /li /brliPlan and run field test campaigns. Take algorithms from bench to flight, work with pilots and integrators on site, and close the loop on real captured data. /li /brliBuild repeatable evaluation methods so that performance and accuracy are measurable across every iteration rather than judged by eye. /li /brliProvide input into camera, lens, sensor and compute selection, and evaluate hardware options against real performance data. /li /brliTake full ownership of computer vision deliverables. Disambiguate requirements, drive alignment across teams, keep stakeholders informed and see work through to the customer. /li /brliMentor and coach other engineers, and raise the bar on product quality. /li /br /ul /br /brh3Qualifications and Skills /h3 /brul /brliDegree in Computer Science, Electrical Engineering, Robotics or a related field, or equivalent practical experience. /li /brliStrong hands on experience deploying computer vision systems on resource constrained platforms, ideally robotic or aerial. /li /brliSolid grounding in classical computer vision: feature detection and matching, optical flow, camera models and calibration, multiple view geometry. /li /brliPractical experience training and deploying convolutional neural networks for detection or classification, including the unglamorous parts: data collection, labelling quality, retraining loops and honest evaluation. /li /brliRigor about timing and synchronization across sensors. Understanding of why timestamps, exposure timing and latency matter, and experience debugging problems that turned out to be timing problems. /li /brliProficiency in C++ and Python, with real experience in OpenCV. /li /brliTrack record of taking computer vision work end to end, from problem definition to something running in a real deployment. /li /brliComfort with field work, including travel to test sites and debugging from real world logs and video. /li /brliAbility to navigate ambiguity and lead across teams in a fast moving environment. /li /brliEffective communication and collaboration across engineering, product and external stakeholders. /li /brliEU citizenship required. /li /br /ul /br /brh3Nice to have /h3 /brul /brliState estimation and sensor fusion. Kalman and extended Kalman filters, IMU integration, estimation under egomotion. /li /brliExperience with visual inertial odometry or visual SLAM, or other hard estimation work on a moving platform. /li /brliExperience with ROS2 or similar middleware. /li /brliExperience with embedded inference runtimes and model optimization such as quantization or pruning. /li /brliFamiliarity with GPU or NPU accelerated pipelines on embedded SoCs. /li /brliExperience building CI or hardware in the loop infrastructure for perception regression testing. /li /brliBackground in aerial platforms, PX4 or MAVLink based systems. /li /br /ul /br /brh3Benefits /h3 /brul /brliFlexible working hours /li /brliStock Options /li /brliGenerous holiday allowance /li /brliCompany pension plan /li /brliCar parking /li /brliEnhanced maternity paternity leave /li /brliMental health and wellbeing support /li /brliLearning and development opportunities /li /br /ul /br /brh3About Auterion /h3 /brpWe are building the leading software platform for AI-powered autonomous systems for enterprise and government customers. Our team is supporting the most important missions and solving the most challenging problems. /p /br /brpAt Auterion, we bring together the sharpest minds who love to solve the hardest problems. Join a vibrant team built on innovation, openness, and excellence, where you'll be empowered to develop ideas, collaborate across all levels, and make an impact that matters. /p /p #J-18808-Ljbffr