Systems Engineer – Sensors

Develop state-of-the-art algorithms for single and multi-sensor fusion using DSP and ML/AI techniques. Typical development flow uses high level languages like MATLAB and Python. Balance between performance, power consumption, and computational complexity. Create reports on algorithm evaluation, validation, benchmarking and delivering complete design and user documentation. Work with global development and test teams. Bachelors, Master or PhD in Electrical or Computer Engineering or related area or equivalent experience. Experience with using concepts in digital signal processing, linear algebra, probability and statistics, machine Learning concepts including supervised and unsupervised learning, feature extraction, classification, regression etc. Knowledge of inertial sensors or working on algorithm designs using IMUs. Publications in field of signal processing/AI Hands on experience of algorithm implementation and debugging. Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field. Works in the lab, can use hazardous chemicals (e.g., glue, machinery).