System Engineer Interference Mitigation (m/w/d) - Product Line Detect, Bietigheim-Bissingen

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

Tasks

• Algorithm Development & Optimization: Design, simulate, and implement advanced interference mitigation techniques (e.g., signal reconstruction, spatial filtering, frequency hopping, or adaptive thresholding) to ensure robust detection in dense environments.
• Root Cause Analysis: Lead deep-dive investigations into current project "warning flags" to identify specific interference patterns (mutual interference, environmental noise) causing performance degradation.
• Performance Benchmarking: Evaluate Valeo’s interference robustness against competitors and define the technical roadmap required to achieve "best-in-class" status for upcoming RFQs.
• Project Support & Troubleshooting: Act as the Tier-3 expert for running projects, providing rapid solutions for interference-related issues identified during vehicle testing or customer validation.
• Standardization & IP: Drive the creation of Valeo internal standards for interference testing and contribute to the company’s patent portfolio to protect unique mitigation IP.
• Validation Framework: Define specific test scenarios and KPIs for "Crowded Radar" environments to be used in HIL (Hardware-in-the-Loop) and vehicle-level testing.

Profile

• Education: Master’s degree or PhD in Signal Processing, Communication Engineering, or Physics.
• Interference Expertise: Deep theoretical and practical knowledge of radar interference mechanisms (e.g., noise floor rise, ghost targets, and signal masking) in FMCW and PMCW systems.
• Signal Processing Mastery: Advanced skills in digital signal processing, specifically in the areas of non-stationary signal analysis and statistical filtering.
• Tools: Expert proficiency in MATLAB/Python for algorithm modeling and large-scale data analysis of raw radar returns.
• Problem-Solving: Proven ability to translate complex physical phenomena into mathematical models and implementable software requirements.