RF Modeling Manager

Motorola Solutions

Quick summary

Work type
On-site
Location
Richardson, TX
Salary
$140,000–$170,000 / yr
Posted
46 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k
This role $155k
$120k most similar roles pay here $229k

This role pays less than 78% of similar roles. Most pay $156,550–$208,437 — the shaded band above. At the midpoint, this role pays about $155k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Motorola Solutions

Motorola Solutions, Inc. (NYSE: MSI) is a leading American technology company providing mission-critical communications, video security, and analytics for public safety and enterprise customers.

Motorola Solutions currently has 119 open roles on FindRole.

Listed pay typically runs $120,000–$150,000 across 105 roles with salary data.

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View all roles at Motorola Solutions

At a glance

TL;DR · RF Modeling Manager

As a senior AI/ML engineer at Motorola Solutions, you will join the cutting-edge team developing advanced indoor localization solutions. Your daily tasks include architecting and refining AI-driven models for fingerprinting, similarity scoring, and sensor fusion, while also building robust path-loss and RF propagation models to enhance accuracy. You will apply sophisticated signal processing techniques to extract high-quality features from raw data and integrate multiple sensor types into hybrid models that surpass single-sensor approaches. Additionally, you will collaborate with firmware, QA, and product teams to deploy these models in real-time scoring pipelines, ensuring sub-100ms inference times for large-scale reliability. The role requires expertise in RF propagation, signal processing, Python (NumPy, Pandas), and AI/ML techniques such as clustering and probabilistic modeling, along with a strong track record of deploying algorithms to enterprise systems under tight latency constraints.

What you'll do

  • Architect and develop AI-driven models for indoor localization, including fingerprinting and similarity scoring.
  • Build and refine path-loss, RF propagation, and multipath-aware models to enhance accuracy and robustness.
  • Apply advanced signal processing techniques to transform raw RF and IMU data into high-quality features.
  • Combine Wi-Fi RSSI, BLE RSSI, RTT timestamps, and IMU patterns to create hybrid models for superior performance.
  • Evaluate model accuracy using ground-truth traces and controlled experiments to improve confidence scoring.
  • Deploy AI-driven models into real-time scoring pipelines with sub-100ms inference requirements.
  • Mentor peers in algorithmic reasoning and modeling excellence across various technical teams.

What we're looking for

  • Master’s degree with 6+ years or PhD with 4+ years in AI/ML, EE, CS, Applied Math, Robotics.
  • Solid understanding of RF propagation, indoor multipath, path-loss modeling, RTT distance estimation.
  • Expertise in signal processing: filtering, Kalman smoothing, noise modeling, time-series feature extraction.
  • Proficient in Python (NumPy, SciPy, Pandas, scikit-learn) and experience with Wi-Fi RSSI, BLE RSSI datasets.
  • Hands-on AI/ML experience with clustering, probabilistic modeling, similarity metrics, lightweight classification/regression.
  • Experience deploying algorithms to real-time enterprise systems with tight latency constraints.

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