Key Responsibilities

1. MEMS Sensitive Structure Design
   Design and optimize MEMS sensing structures to ensure that the proposed designs meet required performance specifications, structural requirements, and manufacturability targets.

2. Multiphysics Simulation & Optimization
   Conduct multiphysics simulation and finite element analysis using COMSOL Multiphysics, including electrostatic field analysis. Optimize structural parameters and design configurations to improve gyroscope accuracy, stability, reliability, and overall performance.

3. MEMS Signal Processing & Circuit Integration
   Collaborate closely with circuit engineers on MEMS signal-processing design and system integration. Support the matching, debugging, and optimization of C/V (capacitance-to-voltage) conversion, ADC/DAC, differential amplification, and related analog signal-conditioning circuits.

4. Performance Testing & Optimization
   Participate in gyroscope performance characterization, experimental validation, data analysis, and design optimization. Work with cross-functional engineering teams to identify and resolve performance issues.

Qualifications

• Strong analytical and problem-solving skills, with demonstrated experience in simulation, modeling, and design parameter optimization.

• Proficiency in COMSOL Multiphysics, particularly for electrostatic field simulation and MEMS device analysis.

• Understanding of angle encoder / angular displacement sensor signal-processing principles and fundamental analog circuit design.

• Familiarity with C/V conversion, differential amplification, ADC/DAC interfaces, and related analog signal-conditioning techniques.

• Ability to work effectively with circuit, mechanical, and system engineers to complete circuit matching, debugging, and sensor-level optimization.

• Strong interest in the development of precision instruments, MEMS sensors, and inertial sensing technologies.

• Strong logical thinking, innovation, analytical skills, and the ability to identify and solve complex engineering problems.

• Experience in MEMS instrument development, angular displacement sensors, MEMS gyroscopes, or related precision sensing technologies is highly preferred.

Preferred Experience

• Experience with MEMS gyroscopes or other MEMS inertial sensors

• Experience in angular displacement / angle measurement sensors

• Experience with electrostatic actuation and capacitive sensing

• Experience with finite element analysis and multiphysics modeling

• Experience in sensor characterization, calibration, and performance optimization

1. Graduated from power-related majors.

2. Minimum 3 years of experience in secondary design.

3. Minimum 3 years of experience in power distribution design.

4. Minimum 5 years of working experience in security protection and building automation.

5. College diploma or above

About the Role

We are looking for an Inertial Navigation & AI Algorithm Engineer to join our R&D team and work on the development, optimization, and validation of advanced inertial navigation and AI-assisted navigation algorithms.

The role focuses on INS algorithm development, multi-sensor fusion, navigation error compensation, and the integration of AI/ML technologies into navigation and positioning systems.

Key Responsibilities

1. Inertial Navigation Algorithm Development
   Develop, optimize, and validate algorithms for Inertial Navigation Systems (INS), including attitude estimation, position and velocity estimation, sensor fusion, navigation error compensation, and related navigation algorithms.

2. AI-Enhanced Navigation
   Explore and develop applications of Artificial Intelligence and Machine Learning in inertial navigation, with a focus on navigation error correction, adaptation to dynamic operating conditions, and multi-source information fusion.

3. Algorithm Validation & Performance Optimization
   Collect, process, and analyze real-world navigation and sensor data. Build and maintain algorithm validation platforms and test environments for performance evaluation, debugging, iterative optimization, and system-level validation.

4. Algorithm Engineering & Documentation
   Implement navigation algorithms in production-oriented software environments and prepare algorithm design specifications, test reports, technical documentation, and development summaries.

5. Technology Research & Innovation
   Track emerging technologies in inertial navigation, AI-based navigation, positioning, and sensor fusion, evaluate their practical value, and support the transition of promising technologies from research concepts into engineering applications.

Qualifications

• Master's degree or above in Navigation, Geomatics, Automation, Computer Science, Electronic Information Engineering, Control Engineering, Artificial Intelligence, or a related field.

• Solid understanding of inertial navigation principles, navigation systems, and multi-sensor fusion techniques.

• Familiarity with fundamental concepts and applications of Machine Learning and Deep Learning.

• Strong programming skills in C/C++ and Python, with good coding standards and software engineering practices.

• Ability to independently implement, debug, test, and validate navigation algorithms.

• Hands-on experience with at least one AI/ML framework, such as PyTorch or TensorFlow.

• Experience developing and applying machine learning algorithms, such as regression, classification, and clustering, and/or deep learning models such as CNNs and LSTMs.

• Strong analytical and problem-solving skills, with the ability to independently conduct algorithm development, performance analysis, and optimization.

• Strong logical thinking, creativity, and a strong interest in exploring emerging technologies.

Preferred Qualifications

• Experience integrating AI/ML with inertial navigation, positioning, or localization algorithms.

• Experience with INS/GNSS integration, sensor fusion, inertial sensors, or navigation systems.

• Experience working with real-world sensor datasets and navigation test data.

• Experience with Kalman filtering, nonlinear estimation, state estimation, or navigation error modeling.

• Experience deploying navigation or AI algorithms on embedded or real-time computing platforms.

• Research or engineering experience in inertial navigation, autonomous navigation, robotics, UAVs, intelligent vehicles, or precision positioning is a plus.