RF Modeling Manager

About the Role Motorola Solutions is seeking an RF Modeling Manager to architect and deploy AI-driven RF localization models and to drive real-time inference pipelines. This role blends RF propagation physics, signal processing, and AI/ML to deliver accurate indoor positioning across diverse environments. What You'll Do

• Architect and develop AI-driven models for indoor localization (fingerprinting, similarity scoring, probabilistic grid-cell prediction, lightweight sensor fusion)
• Build and refine path-loss and RF propagation models including multipath-aware approaches
• Transform raw RF and IMU data into high-quality features via filtering, smoothing, noise reduction, and time-series modeling
• Fuse Wi-Fi RSSI, BLE RSSI, RTT timestamps, and IMU patterns to create hybrid models that outperform single-sensor approaches
• Evaluate accuracy using ground-truth traces, run controlled experiments, tune hyperparameters, and improve model confidence scoring
• Deploy models into real-time scoring pipelines with sub-100ms inference and large-scale reliability
• Collaborate with firmware, data, RF, QA, and product teams; mentor peers in algorithmic reasoning and modeling excellence What We're Looking For
• Master’s degree with 6+ years or PhD (preferred) with 4+ years of professional experience in AI/ML, Electrical Engineering, CS, Applied Math, Robotics, or related technical discipline
• RF & Sensors: solid understanding of RF propagation, indoor multipath, path-loss modeling, and RTT distance estimation
• Signal Processing Specialist: experience with filtering, Kalman/EMA smoothing, noise modeling, and time-series feature extraction
• Data Wrangler: strong Matlab, Python skills (NumPy, SciPy, Pandas, scikit-learn) and experience with Wi-Fi RSSI, BLE RSSI, RTT/FTM, IMU datasets
• AI/ML Engineer: hands-on experience with clustering, probabilistic modeling, similarity metrics, and lightweight ML classification/regression
• Production Mindset: experience deploying algorithms to real-time, enterprise-scale systems with tight latency constraints
• Algorithm Scientist Thinking: able to analyze noisy data, design robust models, validate hypotheses, and convert prototypes into production-ready logic
• Base salary range: $140,000 - $170,000 USD Nice to Have
• PhD preferred (with 4+ years of professional experience in AI/ML, Electrical Engineering, CS, Applied Math, Robotics, or related) Compensation & Benefits
• Target Base Salary Range: $140,000 - $170,000 USD
• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K with Company Match
• 10 Paid Holidays
• Generous Paid Time Off Packages
• Employee Stock Purchase Plan
• Paid Parental & Family Leave
• and more!