Localization Algorithm Engineer for RF Products IRC275305
Impactful Projects
Develop next-generation localization solutions that have the potential to revolutionize mobility, retail, travel, and more.
Professional Growth
Benefit from mentorship, cross-functional collaborations, and a culture that values continuous improvement and learning.
Shape the future of high-accuracy micro-location at client and influence the broader R&D roadmap. Requirements Strong Technical Foundations
- 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.
- Passionate about exploring new ideas, adapting cutting-edge research, and creatively applying them to solve challenging localization problems.
- Enjoys working as part of a multi-disciplinary R&D team, bridging gaps between software, hardware, and system-level designs.
- Thrives on tackling open-ended challenges, taking ownership of tasks, and seeking continuous learning opportunities.
- 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.
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