Senior Computer Vision & AI Engineer

About this job

Do you want to build computer-vision technology that helps autonomous drones understand and navigate the real world? At Robotto, we build advanced autonomy and software solutions for drones and unmanned systems. Our work brings together computer vision, edge computing, software, electronics and real-world product development.We are looking for a Senior Computer Vision & AI Engineer to take a leading technical role in developing and improving the perception capabilities behind our drone platform.You will work on challenging real-world problems where robust vision, accurate localisation and reliable performance matter. This is an opportunity for someone who enjoys going beyond algorithms and prototypes to build computer-vision solutions that perform reliably in demanding real-world environments. The role You will join a highly technical engineering team working on autonomy for drones and unmanned systems.You will take significant ownership of computer-vision capabilities supporting object detection, tracking, visual localisation, visual-inertial odometry and other perception-related challenges.You will work closely with software, control, flight-test and electronics colleagues to turn computer-vision concepts into robust, deployable solutions.As a senior engineer, you will also contribute to architecture and technical decisions, help strengthen engineering practices and share your experience with other engineers across the team. What you will do Design, develop, test and improve advanced computer-vision algorithms for Robotto’s drone and autonomy platform. Take technical ownership of computer-vision problems from exploration and prototyping through implementation, evaluation and deployment. Work with object detection, tracking, visual localisation, visual-inertial odometry, visual SLAM and related perception challenges. Build robust solutions that can perform under changing environmental and operational conditions. Optimise computer-vision solutions for deployment on edge and resource-constrained computing platforms. Define appropriate datasets, test scenarios, evaluation methods and performance metrics. Contribute to architecture and technical-design decisions across the perception stack. Collaborate closely with software, control, flight-test and electronics engineers to integrate perception capabilities into the wider platform. Investigate complex technical issues, validate results and drive practical improvements. Contribute to code quality, testing, documentation and engineering practices. Share knowledge and provide technical guidance to other engineers where relevant. What success could look like in your first 3–6 months You have developed a strong understanding of Robotto’s autonomy platform, architecture and computer-vision priorities. You have taken ownership of one or more important perception challenges and are driving them towards robust solutions. You have contributed meaningful improvements to areas such as object detection, tracking, localisation or visual-inertial odometry. Your solutions are being evaluated against real-world data and operational scenarios. You are contributing to architecture and technical decisions across the computer-vision stack. You are collaborating effectively across computer vision, software, control and flight testing. You have become a trusted senior technical contributor within the engineering team. What we are looking for We are looking for an experienced engineer with a strong computer-vision foundation and a track record of turning complex technical ideas into practical, working systems. 5+ years of relevant professional experience preferred, with significant hands-on expertise in computer vision, robotics, machine learning, autonomy or a closely related field. Strong practical knowledge of computer vision, with experience in areas such as object detection, tracking, visual localisation, visual-inertial odometry, visual SLAM or related perception methods. Strong C++ programming skills, with Python experience for algorithm development, experimentation, testing and prototyping. Experience taking computer-vision or machine-learning solutions beyond research and prototyping into real products or deployed systems. Experience designing, training and evaluating deep-learning models for computer-vision applications. Experience deploying and optimising models or computer-vision algorithms on edge or resource-constrained computing platforms is highly relevant. Strong understanding of algorithm evaluation, datasets, testing methodologies and measurable performance criteria. Experience contributing to architecture or technical-design decisions within complex software or perception systems. A good understanding of how vision systems interact with cameras, sensors, software, compute platforms and real-world environments. Experience with drones, robotics, autonomous systems or embedded-adjacent software is a strong advantage. Experience mentoring, supporting or sharing techni

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