Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, or related field.
Strong understanding of digital signal processing and estimation techniques.
Experience developing algorithms using IMU or other physical sensor data.
Knowledge of Kalman filters, adaptive filters, probability, and statistics.
Experience with MATLAB and/or Python for algorithm development.
Exposure to machine learning techniques including classification, regression, and feature extraction.
C/C++ experience is beneficial. Publications or research in signal processing or sensor fusion are an asset.
Responsibilities
Design and develop single and multi-sensor fusion algorithms using DSP and ML techniques.
Work with accelerometer, gyroscope, magnetometer, and other sensor data.
Apply techniques including Kalman filtering, adaptive filtering, linear algebra, probability, and statistics.
Prototype algorithms using MATLAB and Python.
Evaluate and benchmark algorithms across accuracy, performance, power, and computational complexity.
Support implementation of algorithms in C/C++ on embedded platforms.
Collaborate across R&D, systems engineering, software integration, validation, and commercial deployment.
Benefits
Opportunity to work on cutting-edge sensing technologies.
Collaborative environment across multiple engineering disciplines.
Exposure to both research and commercial deployment phases.
Potential for professional growth in algorithm development and systems engineering.
Full Job Description
Sensor Systems Engineer - Sensor Fusion & Signal Processing
Location: Santa Clara, CA Focus: Sensor fusion, DSP, estimation algorithms
This role is centered on algorithm and systems engineering rather than traditional software development, combining digital signal processing, sensor fusion, estimation and machine learning to develop next-generation sensing capabilities.
What you'll work on
Design and develop single and multi-sensor fusion algorithms using DSP and ML techniques.
Work with accelerometer, gyroscope, magnetometer and other sensor data.
Apply techniques including Kalman filtering, adaptive filtering, linear algebra, probability and statistics.
Prototype algorithms using MATLAB and Python.
Evaluate and benchmark algorithms across accuracy, performance, power and computational complexity.
Support implementation of algorithms in C/C++ on embedded platforms.
Work across R&D, systems engineering, software integration, validation and commercial deployment.
What we're looking for
Bachelor's, Master's or PhD in Electrical Engineering, Computer Engineering or a related discipline.
Strong understanding of digital signal processing and estimation techniques.
Experience developing algorithms using IMU or other physical sensor data.
Knowledge of Kalman filters, adaptive filters, probability and statistics.
Experience with MATLAB and/or Python for algorithm development.
Exposure to machine learning techniques including classification, regression and feature extraction.
C/C++ experience is beneficial.
Publications or research in signal processing, sensor fusion or related areas are an asset.
How to Apply? All qualified and interested applicants can apply directly to Gord Marriage by sending an email with attached resume to [redacted]. You may also apply directly on our website at www.talentlab.com. Although we thank all applicants for their interest, only those in consideration will be contacted.
