RF Modeling Manager

Reposted 24 Days Ago
Be an Early Applicant
Richardson, TX, USA
In-Office
140K-170K Annually
Senior level
Hardware • Security • Software • Cybersecurity
The Role
The RF Modeling Manager will architect AI-driven models for indoor localization, improve RF propagation models, and deploy real-time scoring pipelines. Responsibilities include mentoring, collaborating across teams, and ensuring model reliability and accuracy.
Summary Generated by Built In
Company Overview

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department Overview
Motorola Solutions' innovations, products, and services play essential roles in people's lives. Our end-to-end suite of software solutions helps customers manage emergency communications, process video and evidence, and leverage cutting-edge AI-driven analytics for security and operational insights. We are industry leaders in video security and analytics, with solutions deployed in more than 120 countries across diverse environments such as school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers.
Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated decision-making.
Job Description

Responsibilities:

Model & Innovate: Architect and develop AI-driven models for indoor localization, including fingerprinting, similarity scoring, probabilistic grid-cell prediction, and lightweight sensor fusion

Understand the Physics: Build and refine path-loss, RF propagation, and multipath-aware models to improve accuracy, robustness, and stability

Extract the Signal: Apply advanced signal processing techniques, filtering, smoothing, noise reduction, time-series modeling to transform raw RF and IMU data into high-quality features.

Fuse Intelligence: Combine Wi-Fi RSSI, BLE RSSI, RTT timestamps, and IMU patterns to produce hybrid models that outperform single-sensor approaches.

Experiment Relentlessly: Evaluate accuracy using ground-truth traces, run controlled experiments, tune hyperparameters, and improve model confidence scoring.

Operationalize Intelligence: Deploy models into real-time scoring pipelines, collaborating with cloud engineering to ensure sub-100ms inference and large-scale reliability.

Collaborate & Elevate: Work closely with firmware, data, RF, QA, and product teams. Mentor peers in algorithmic reasoning and modeling excellence

Qualifications:

Master’s degree with 6+ years of relevant work or a PhD (preferred) with 4+ years of professional experience in AI/ML, Electrical Engineering, CS, Applied Math, Robotics, or a 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 working 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.

Target Base Salary Range: $140,000 - $170,000 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

#LI-RS1


Basic Requirements

Master’s degree with 6+ years OR a PhD with 4+ years of professional experience in AI/ML, Electrical Engineering, CS, Applied Math, Robotics, or a related technical discipline.


Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
Yes

Our U.S. Benefits include:

  • 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!


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

Skills Required

  • Master's degree with 6+ years of experience or PhD with 4+ years in AI/ML or related field
  • Solid understanding of RF propagation, indoor multipath, path-loss modeling
  • Experience with filtering, Kalman/EMA smoothing, noise modeling
  • Strong Matlab, Python skills and experience with Wi-Fi RSSI, BLE RSSI
  • Experience deploying algorithms to real-time systems
  • Able to analyze noisy data and design robust models

Motorola Solutions, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Motorola Solutions, Inc. and has not been reviewed or approved by Motorola Solutions, Inc..

  • Healthcare Strength Healthcare coverage is effective from day one with multiple national carrier options and bundled prescription coverage. Offerings also include mental health benefits and Flexible Spending Accounts, with optional pet insurance.
  • Leave & Time Off Breadth Time off includes generous PTO with 9–10 paid holidays, and many salaried roles use a Flex Time Off or unlimited PTO approach. Paid parental and family leave plus adoption assistance expand support.
  • Retirement Support Retirement benefits feature a 401(k) with company match and immediate vesting. Additional financial programs like an employee stock purchase plan, performance bonuses, and company equity bolster long-term value.

Motorola Solutions, Inc. Insights

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The Company
HQ: Chicago, IL
21,000 Employees

What We Do

Motorola Solutions is a global technology company that provides mission-critical communications, video security, and command center software to help protect people, property, and places for public safety agencies and enterprises.

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