Job Title: Embedded GNSS Navigation Engineer
Key Emphasis:
- Strong experience with GNSS navigation systems and algorithms
- Solid foundation in estimation theory (e.g., Kalman filtering)
- Proficiency in embedded programming (C/C++)
- Excellent communication and cross-functional collaboration skills
Job Description:
We are seeking a highly skilled Embedded GNSS Navigation Engineer to support the development of advanced navigation products and solutions. The ideal candidate will have strong expertise in GNSS algorithms, embedded systems, and estimation techniques, along with the ability to collaborate effectively across multidisciplinary teams.
Key Responsibilities:
- Apply in-depth knowledge of GNSS navigation algorithms and estimation theory to drive research and development of navigation solutions
- Design, implement, test, and document complex GNSS algorithms using C/C++ for embedded platforms
- Develop and optimize real-time embedded software for navigation systems
- Conduct peer reviews of algorithm designs, software architecture, and implementation to ensure high-quality deliverables
- Collaborate with cross-functional teams (hardware, firmware, systems) to diagnose issues and implement solutions
- Troubleshoot and resolve system-level defects, ensuring performance and reliability improvements
- Contribute to continuous improvement of navigation accuracy, robustness, and efficiency
Required Qualifications:
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Aerospace, or related field
- Strong experience with GNSS systems (GPS, GLONASS, Galileo, BeiDou)
- Hands-on expertise in navigation algorithms and estimation techniques (e.g., Kalman Filters)
- Proficiency in C/C++ embedded programming
- Experience working with real-time embedded systems
- Strong analytical, problem-solving, and debugging skills
- Excellent verbal and written communication skills
Preferred Qualifications:
- Experience with sensor fusion (IMU, INS integration)
- Familiarity with RTK/PPP positioning techniques
- Knowledge of signal processing and RF fundamentals
- Experience with embedded Linux or RTOS environments
