Staff Software Algorithms Engineer – UWB Radar & Localization
Tasks
- Build UWB radar DSP pipelines
- Collaborate with platform software firmware hardware and systems teams
- Design state estimation and tracking algorithms using Bayesian methods
- Develop localization and navigation algorithms for RF environments
- Estimate range velocity and motion
- Implement Kalman filter variants
- Lead UWB radar and localization algorithm architecture
- Mentor estimation and signal processing subject matter experts
- Mitigate multipath and reject clutter
- Optimize algorithms for embedded real time constraints
- Perform time and frequency domain signal processing
- Process CIR and detect first path
- Validate algorithms with simulation recorded data and in vehicle testing
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Vacation
- Vision insurance
Skills/Tech-stack
Adaptive filtering | Bayesian Inference | C# | C++ | Digital Signal | Digital Signal Processing | Embedded Software | Embedded Systems | Estimation Theory | Extended Kalman | Extended Kalman Filter | Kalman Filter | Python | Radar | Real Time | Real-time Systems | Signal Processing | State Estimation | Time Systems | Tracking | UWB | Unscented Kalman | Unscented Kalman Filter
Education
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