Algorithm and Signal Processing Engineer, Positioning Systems
Full Time opportunity in Belmont, CA
Seeking a senior Algorithm and Signal Processing Engineer to lead software development on our embedded and cloud-based signal processing platforms. You will work with our Product, Software Engineering, and Hardware teams to define system requirements and develop/test applications optimized for state-of-the-art positioning system performance in presence of hardware and wireless channel impairments.
JOB RESPONSIBILITIES
- Work with internal stakeholders to establish positioning system requirements and architect the system.
- Implement state estimation algorithms in radio signal processing
- Analyze, source, and select sensor solutions for use in the navigation
- Develop sensor models in simulation for evaluation and then implement integration with the navigation system.
- Test navigation software in simulation, hardware-in-loop, and live commercially-operated
- Simulate hardware and wireless channel impairments of L1/PHY digital modulations (FSK, PSK, OFDM) to understand system performance, such as I/Q imbalance, clock synchronization, ADC noise, and Aloop optimization.
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MUST HAVE ATTRIBUTES/SKILLS
- BS in Electrical Engineering, Math, or
- Understanding of wireless communication
- Mathematical background in statistical signal processing, estimation, and
- Signal processing expertise in Matlab, GNU Octave, and/or
- Working knowledge of Python and/or C/C
- Work authorization in the
SHOULD HAVE ATTRIBUTES/SKILLS
- MS/PhD in Electrical Engineering, Math, or
- Deep understanding of Bayesian estimation techniques, Nonlinear Kalman filter, Particle filter, probability theory, and fault detection and exclusion (FDE).
- Experience with building and using third-party software libraries and Git version
- Industrial experience in building real-time positioning
- Experience with ISM band and cellular communication standards.
- Experience with IMU sensor fusion for improved tracking
- Experience with machine learning and AI in python with Tensorflow/Pytorch.
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