Junior Algorithm R&D Engineer

•; Research and analysis • Prototyping and implementation • Experimentation and validation • Debugging and performance improvement • Integration into production systems The role offers an opportunity to work closely with experienced engineers and researchers in a fast-paced and highly technical environment. • B.Sc. in a quantitative field (Electrical Engineering, Aerospace Engineering, Physics) • Graduate of a leading university (e.g., Technion, TAU, BGU, BIU, HUJI) Advantages • M.Sc. degree or ongoing graduate studies • Relevant academic research or graduate project work • Knowledge in one or more of the following areas: Statistical signal processing, Estimation theory, Sensor fusion, Statistical data analysis, Machine learning, Navigation and localization algorithms Professional Experience Required • Ability to quickly learn and understand complex systems and algorithms • Hands-on experience with Python and the scientific Python ecosystem (NumPy, SciPy, Pandas, etc.) • Experience using LLM-based tools to support research, development, and productivity • Experience in software, algorithm, or data-analysis projects through academic research, industry work, military technological service, or personal projects Advantages • 1–2 years of industry experience in algorithm R&D or related fields • Exposure to one or more of the following domains: Localization and positioning, Navigation systems, Robotics, SLAM, Sensor-based systems • Background in classical machine learning and statistical analysis methods • Experience with IMU-related algorithms