Signal Processing / Machine Learning Engineer
Core
Develop, model, and evaluate advanced algorithms for radar systems, combining classical signal processing with data-driven methods to handle complex sensor data and real-world measurements.
Role type
System-oriented algorithm developer (radar & machine learning)
Builds
Robust algorithmic solutions for automotive radar systems
Domain
Automotive radar, signal processing, machine learning
Deliverable
production ML models | product features
Required skills
algorithm development, mathematical modelling, MATLAB, machine learning (PyTorch, U-nets, transformers), digital signal processing, electromagnetic wave propagation analysis, complex dataset analysis
Preferred skills
radar signal processing, sensor fusion, image processing/computer vision, deep learning, automotive/ADAS/autonomous systems experience, safety-critical or real-time development
Technologies
MATLAB, PyTorch
Responsibilities
Develop, model, and simulate algorithms for radar systems; process complex sensor data and real-world radar measurements; analyze test data from lab environments, vehicles, and simulations; evaluate algorithmic trade-offs between complexity, performance, and computational capacity; collaborate with experts in radar, firmware, software, and system architecture
Seniority
Mid-Senior, hands-on IC