| Description | About Us: Mapsted (www.mapsted.com) is a global leader in innovative location-based technology distinguished by its proprietary hardware-free solutions. Founded in 2014 the company has pioneered the transformation of data chaos into actionable intelligence through advanced AI and machine learning. Mapsted has meticulously mapped over one billion square feet of indoor space and holds more than 100 patents showcasing its commitment to trailblazing innovation. Its unique ability to deliver scalable beacon-free indoor positioning with an accuracy of 1–5 meters places it at the forefront of the industry. Overview: About Us: Mapsted (www.mapsted.com) is a global leader in innovative location-based technology distinguished by its proprietary hardware-free solutions. Founded in 2014 the company has pioneered the transformation of data chaos into actionable intelligence through advanced AI and machine learning. Mapsted has meticulously mapped over one billion square feet of indoor space and holds more than 100 patents showcasing its commitment to trailblazing innovation. Its unique ability to deliver scalable beacon-free indoor positioning with an accuracy of 1–5 meters places it at the forefront of the industry. Overview: We are seeking a passionate and self-driven Senior RD Engineer with deep expertise in software and algorithm development to join our growing team. This is a hands-on role where you will contribute to the design and development of cutting-edge technologies and core system components. If you're excited about working in a fast-paced environment expanding your skill set and driving innovation we’d love to hear from you. Key Responsibilities: Contribute to the full lifecycle of product research design and development — from concept through implementation. Design develop and optimize advanced algorithms for real-world applications. Drive technical innovation and improve efficiency within core system components. Collaborate across multidisciplinary teams to integrate and test software solutions. Required Qualifications: Ph.D. in Engineering Applied Mathematics Computer Science or a related technical discipline. Solid foundation in signal processing adaptive filtering optimization theory and probability theory. Hands-on experience with Bayesian filtering techniques such as Kalman Filters Particle Filters and Hidden Markov Models (HMMs). Practical experience in object-oriented programming especially in languages such as C++ C# or Python. Preferred Experience (Nice to Have): Familiarity with indoor positioning localization or navigation systems. Experience with sensor fusion or data fusion methodologies. Working knowledge of data from inertial sensors like accelerometers gyroscopes and magnetometers. Skills: Strong communication skills in English — both written and verbal. Exceptional analytical conceptual and problem-solving abilities. A quick learner with a proactive and results-driven mindset. Ability to thrive in a collaborative cross-functional and fast-paced environment. Job Type: Full-time Schedule: Evening shift Monday to Friday Morning shift Night shift Supplemental Pay: Performance bonus |