Radar Signal Processing Engineer

Mantis Robotics is building the fastest and safest industrial robots that can work safely with people, to make robotic automation accessible to anyone wanting to automate a manual task. Mantis Robotics BV (Leuven) is the Belgian R&D centre of Silicon Valley based Mantis Robotics Inc, one of the fastest growing robotics startups, backed by Amazon (lead investor). We are seeking a highly skilled and motivated radar signal processing engineer to join our sensor development team in Leuven, Belgium. The selected candidate will play a critical role in designing, developing, and validating various features of our radar processing algorithms. We are committed to respect, transparency, honesty, integrity, fairness and customer focus. CORE RESPONSIBILITIES: Your primary responsibility will be the development of our dedicated radar algorithms for object tracking and classification, environmental modeling, and sensor fusion to ensure high performance without compromising safety constraints. To achieve our objectives, we expect you to: collaborate with cross-functional engineering teams and research groups to decide on requirements, architecture and validation methods develop tools and data visualization techniques to effectively gain insights into the performance and physical boundaries of our radar system conduct thorough testing of radar signal processing algorithms using real-world data, representing standard conditions and corner cases document algorithm designs, implementation details, and testing procedures, and create API documentation and user manuals for our software developers support integration and test, evaluate test results, investigate discrepancies, provide technical assessment of anomalies, and drive issues to resolution QUALIFICATIONS: Master’s or PhD degree in a related engineering field, including but not limited to electrical engineering, signal processing, computer science, or physics Prior experience in algorithm and/or software development for radar applications, demonstrating fundamental knowledge of the related theoretical framework of radar signal processing (e.g., contested spectrum, beamforming, and direction-of-arrival estimation) Proficiency in statistical concepts, mathematical modeling, and data interpretation (e.g., linear and logistic regression, Bayesian techniques) Experience with RF signature recognition and classification algorithms Experience with computational imaging and image reconstruction techniques Experience in C/C++ programming, preferably on embedded devices, and familiarity with Python Strong written and verbal communication skills in English PREFERRED: Prior experience developing sensor fusion algorithms using data from different sensing modalities including radar, camera, and ToF/LiDAR systems. Experience with version control tools such as Git, SVN or equivalents Knowledge of radar firmware development is advantageous Experience in the development and management of research projects Mantis Robotics is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. #J-18808-Ljbffr Mantis Robotics