Job Description Develop and refine PC-based localization algorithms using particle filters and other probabilistic techniques.  Implement sensor fusion strategies that integrate data from IMUs, wireless signals, and other external sources to enhance position accuracy.  Design simulations to test and validate your algorithms under diverse real-world conditions (e.g., multipath, noise, varying environments).  Leverage Python, C++, C#, or MATLAB to prototype and optimize algorithms before porting them to production software.  Conduct thorough performance evaluations of localization algorithms, identifying bottlenecks and implementing data-driven optimizations.  Collaborate with embedded, FPGA, and RF teams to improve the performance of the location tracking system.  Stay current with the latest academic and industry research in probabilistic localization, sensor fusion, and state estimation.  Rapidly prototype novel concepts, iterating on algorithm design to reach production-level stability and robustness.  Work cross-functionally with software, hardware, and systems engineers to integrate localization algorithms into larger systems.  Contribute to code reviews, knowledge sharing, and team brainstorming sessions to maintain a high level of technical excellence. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .     To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Skills and Requirements Real time location experience (RTLS)  Solid background in state estimation, probability theory, and advanced filtering techniques (particle filters, Kalman filters, etc.).  Proficiency in at least one programming language (Python, C#, C++, MATLAB) used for developing and evaluating algorithms in a PC-based environment.  Experience translating theoretical models into efficient, production-ready code, with an emphasis on real-time or near-real-time performance.  Familiarity with sensor data processing (IMU, etc.) and a keen interest in multi-sensor fusion methods.  Adept at using data analytics and simulations to diagnose issues, validate assumptions, and refine algorithmic approaches.  Enjoys working as part of a multi-disciplinary R&D team, bridging gaps between software, hardware, and system-level designs. null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.