
Manager
2 weeks ago
Manager – System Processing
to lead the design, development, and optimization of advanced radar signal and data processing algorithms. The ideal candidate will have deep expertise in FMCW radar signal processing, multi-target tracking algorithms, and automation modules leveraging machine learning techniques. This role requires strong technical leadership, hands-on coding abilities, and the capability to drive innovation in automotive radar systems.
Key Responsibilities
- Lead the development and implementation of radar signal and data processing algorithms including FMCW waveform analysis, Multi-Hypothesis Tracking (MHT), Global Nearest Neighbor (GNN), Probabilistic Data Association (PDA), Joint PDA (JPDA), Kalman Filters (KF), Interacting Multiple Model (IMM) frameworks, and Particle Filters.
- Develop and optimize algorithms for clutter identification and elimination to improve target detection accuracy.
- Implement advanced data curve-fitting techniques using linear and nonlinear polynomials, along with data smoothing algorithms for enhanced signal clarity.
- Design and maintain robust track identification and data association methods for multi-target tracking systems.
- Lead automation module development leveraging machine learning concepts to improve system performance and operational efficiency.
- Collaborate closely with cross-functional teams to integrate automotive radar concepts and meet system-level requirements.
- Provide technical guidance and mentorship to team members on algorithm development, coding standards, and best practices.
- Oversee the coding, testing, and validation of algorithms using MATLAB, C/C++, and Python.
- Manage project timelines, deliverables, and documentation to ensure successful and timely completion of system processing modules.
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