Sensor Fusion and Localization Engineer

Zendar is looking for a Sensor Fusion & Localization Engineer to join our Lindau am Bodensee office. We are deploying a 360-degree radar-based perception system and extending it toward full-stack autonomy through early fusion of camera and radar data. You will work on localization, mapping, calibration, and multi-sensor fusion algorithms that allow autonomous systems to operate robustly across automotive and robotics domains. This is a unique opportunity to join a team that is not bogged down by legacy code. You will define, own, and build a next-generation perception stack that enables reliable autonomy at scale. About Zendar: Zendar is building perception for physical AI—giving engineers a strong foundation for creating world-class robotics applications. At Zendar, you’ll work on perception foundation models that enable robots to understand and interact with their environments across a wide range of industries. Zendar pioneered RF perception that delivers a vision-like, semantically segmented understanding of the environment—running on embedded automotive systems using only radar data. This RF perception forms the backbone of Zendar’s next-generation foundation models, which are built around early fusion of RF and vision data. This architecture inverts the traditional perception stack. Instead of treating RF signals as secondary, Zendar’s models combine vision’s high angular resolution with RF’s strong temporal and spatial understanding at the earliest stages of perception. The result is a system that sees farther, remains robust to occlusion and adverse weather, and operates far more efficiently than vision-only or lidar-based approaches. See a demo of Zendar’s foundational RF perception At Zendar, you’ll work at the cutting edge of autonomous mobility and robotics—advancing foundation models that will power the next generation of physical AI systems. You’ll work with large-scale, real-world, multi-modal datasets composed of synchronized and calibrated radar, camera, and lidar data collected across multiple continents. Our team brings together deep expertise across hardware, signal processing, machine learning, and software engineering, with decades of experience in sensing and perception. We are a global team with offices in Berkeley, Lindau (Germany), and Paris (France). Zendar is well-funded by leading Tier-1 venture capital firms and has established strong industry partnerships. Although AI is central to what we build, our hiring process is intentionally human: every resume is reviewed by a real person. Your Role: As a Sensor Fusion & Localization Engineer in Lindau, you will design and implement the state estimation framework behind Zendar’s next-generation autonomy stack. You will work across radar, vision, and inertial sensing to develop precise, robust, and efficient algorithms for localization, odometry, mapping, and calibration. You will have direct access to raw spectral radar data and the opportunity to treat radar as a primary sensor in robotics state estimation. Why this role is exciting: Ownership: You will drive architectural decisions, making rigorous tradeoffs between approach A vs. B. Scale: You will work with a real-world dataset covering tens of thousands of kilometers across multiple continents. Impact: You will see your work validated on real vehicles, bridging the gap between research and production What You’ll Do: Architect a Multi-Sensor State Estimation System : Own the design and implementation of a multi-sensor robotics and state estimation framework. Develop tightly coupled fusion architectures for streaming camera, radar, and IMU data, with an emphasis on real-time performance, robustness, and production scalability. Deliver Production-Ready Algorithms : Multi-sensor SLAM and localization High-precision online calibration Radar-camera-IMU sensor fusion Navigation for autonomous vehicles Drive Reliability : Target "four nines" reliability behavior in defined conditions, focusing on the messy long tail of real-world driving. Optimize for Real-Time : Partner with embedded teams to ensure models meet strict constraints (latency, memory, throughput) and integrate cleanly via stable interfaces. What We Look For: MSc in Robotics, Computer Vision, Electrical Engineering, or a related field Strong mathematical foundation in linear algebra, probability, estimation theory, optimization, and 3D geometry Strong understanding of sensor fusion, localization, and state estimation methods, including Kalman filtering and factor graph optimization Strong software engineering skills in Python and C++ Experience designing, implementing, and debugging complex robotics system Ability to lead architectural discussions, articulate tradeoffs, quantify technical risks, and define realistic development milestones Bonus Points: PhD in Robotics, Computer Vision, Electrical Engineering, or a related field Experience designing and deploying SLAM, localization, odometry, or calibration algorithms on real robotics platforms in challenging environments Experience with tightly coupled fusion of visual, inertial and radar data Practical and theoretical understanding of sensor noise, synchronization, observability, degeneracy, and failure modes What We Offer: Opportunity to make an impact at a young, venture-backed company in an emerging market Competitive salary ranging from €82,000 to €115,000 annually depending on experience and equity Hybrid work model: in office 3 days per week (Tuesday, Wednesday, Thursday), the rest… work from wherever! Modern Workspace: Fully equipped, modern office on the beautiful lake Constance in the Alpine foothills Daily lunch supported by a fixed amount for in-office days to be used freely at your discretion and a stocked fridge in the office Egym Wellpass Zendar is committed to creating a diverse environment where talented people come to do their best work. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.