Senior Slam/Perception Engineer

ppWho we areEvolunar is a deep-tech aerospace startup and spin-off of Politecnico di Torino, developing advanced autonomous navigation technologies for UAVs and robotic platforms. Born from the challenge of navigating on the Moon, our technology is now enabling autonomous systems to operate in some of the most demanding GNSS-denied and degraded environments on Earth. /p h3About the role /h3 pWe're looking for a Senior SLAM Engineer to work on the perception and navigation stack at the core of our autonomous navigation system, enabling UAVs to fly where GNSS is denied or degraded. You will own core parts of the real-time estimation pipeline, from the computer vision front-end to the state estimation back-end, and you will be responsible all the way from research prototypes to optimized production code running at high rate on a resource-constrained flight computer. You'll work at the intersection of computer vision, sensor fusion, and state estimation, alongside a small team of engineers with expertise in robotics, estimation theory, and real-time systems. /p h3What you'll do /h3 ul liDesign, prototype, and validate SLAM, visual-inertial odometry, and state estimation algorithms. /li liOwn the front-end: feature detection and tracking, data association, outlier rejection, multi-camera and multi-sensor geometry and map matching. /li liOwn the back-end: EKF and/or factor-graph estimation, tightly-coupled sensor fusion, loop closure and relocalization, consistency and observability analysis. /li liSupport integration and flight testing, debug from real flight data, and feed what you learn in the field back into the algorithms. /li liWrite efficient and optimized production C++ code. /li liContribute to architecture decisions, code reviews, and the technical growth of the team. /li /ul h3What you'll bring /h3 ul liMSc or PhD in Computer Science, Robotics, Engineering, or a related field, or a BSc with equivalent hands-on experience. /li li3+ years developing perception and state estimation algorithms for real-time robotic systems. /li liStrong grounding in probabilistic estimation: EKF and/or factor graphs. /li liDeep understanding of visual-inertial odometry and multi-sensor fusion. /li liA track record of designing, implementing, and debugging core elements of complex SLAM systems. /li liSolid computer vision and image processing fundamentals: multi-view geometry, camera models, calibration. /li liReal experience writing optimized, maintainable, production code in C++. /li liExperience in MATLAB and/or Python for prototyping, analysis, and tooling. /li liAbility to diagnose problems in a real system from flight collected data. /li liNice to have: Experience with learning-based perception: learned features and matching, monocular depth, place recognition. /li liKnowledge of multi-sensor extrinsic and temporal calibration. /li liExperience in safety-critical or aerospace development environments. /li /ul h3What we offer /h3 ul liOwnership of a core technical area, with real influence over the architecture and direction of the navigation stack. /li liWork at the forefront of autonomous robotics, pushing the state of the art on problems that are still open. /li liA fast development cycle, where your work is promptly validated on real hardware in real conditions, not only in simulation. /li liAn early role on a fast-growing, technically ambitious, and fast-paced team, with a direct path to future leadership. /li lixysqume Competitive salary of € 38k-48k. /li liFlexible hours, hybrid working. /li /ul h3Senior Slam/Perception Engineer - Ficarazzelli-Bagni Italia, IT /h3 /p #J-18808-Ljbffr