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Motorola Solutions
Motorola Solutions

Provides safety and security products and services.

RF Modeling Manager at Motorola Solutions

RoleMachine Learning
LevelManager
LocationRichardson, TX (TX145)
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

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 (Num Py, Sci Py, 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.

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.

Required skills

RF modeling

Machine learning

Indoor localization

Probabilistic modeling

Technical leadership

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About Motorola Solutions

Motorola Solutions

Motorola Solutions, Inc., is an American technology company that provides safety and security products and services. Headquartered in Chicago, Illinois, the company provides critical communications, video security, and command center technologies, used by public safety agencies and enterprises.

10,001+

Employees

Chicago

Headquarters

$13.5B

Valuation

Reviews

10 reviews

3.7

10 reviews

Work-life balance

3.8

Compensation

4.2

Culture

3.6

Career

2.8

Management

3.2

68%

Recommend to a friend

Pros

Cutting-edge technology and interesting projects

Flexible work arrangements and good work-life balance

Excellent benefits and compensation

Cons

Limited career advancement and promotion opportunities

Poor management and lack of direction in some areas

High workload and stress during deadlines

Salary Ranges

46 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · DATA SCIENTIST I

1 reports

$88,393

total per year

Base

$67,995

Stock

-

Bonus

-

$88,393

$88,393

Interview experience

2 interviews

Difficulty

2.5

/ 5

Duration

14-28 weeks

Offer rate

50%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Offer

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience