RF Modeling Manager

Motorola Solutions; Richardson (TX); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Incentive Bonus Plans

Medical, Dental and Vision benefits

401(K) with Company Match

10 Paid Holidays

Generous Paid Time Off Packages

Employee Stock Purchase Plan

Paid Parental & Family Leave

Job summary

Motorola Solutions is seeking an experienced professional in Richardson, Texas, to develop AI-driven models for indoor localization. You will architect models utilizing advanced signal processing while collaborating closely with cross-functional teams.

Ideal candidates hold a Master's or PhD with extensive experience in AI/ML or related fields, possess strong technical skills in Python and Matlab, and are capable of deploying algorithms to real-time systems.

This position offers a competitive salary range between $140,000 - $170,000 and includes various U.S. benefits.

Qualifications

• Master's degree with 6+ years or PhD with 4+ years of experience in relevant fields.
• Solid understanding of RF propagation, indoor multipath, and path-loss modeling.
• Experience with filtering, smoothing, and time-series feature extraction.

Responsibilities

• Architect and develop AI-driven models for indoor localization.
• Apply advanced signal-processing techniques using RF data.
• Collaborate with various teams and mentor peers.

Skills

RF propagation understanding

Signal processing techniques

Matlab

Python (NumPy, SciPy, Pandas)

AI/ML techniques

Algorithm design

Education

Master’s degree in AI/ML, Electrical Engineering, CS, Applied Math, Robotics or related discipline

Tools

Python libraries

Matlab

Job description

Responsibilities

• Model & Invent: 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 modelling—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 hyper‑parameters, and improve model confidence scoring.
• Operationalize Intelligence: Deploy models into real‑time scoring pipelines, collaborating with cloud engineering to ensure sub‑100 ms 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 discipline.
• RF & Sensors: Solid understanding of RF propagation, indoor multipath, path‑loss modelling and RTT distance estimation.
• Signal Processing Specialist: Experience with filtering, Kalman/EMA smoothing, noise modelling, and time‑series feature extraction.
• Data Wrangler: Strong Matlab and 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 modelling, 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 analyse noisy data, design robust models, validate hypotheses and convert prototypes into production‑ready logic.

Target Base Salary Range: $140,000 – $170,000 USD

Travel Requirements: Under 10%

Relocation Provided: None

Position Type: Experienced

Referral Payment Plan: Yes

Our U.S. Benefits include:

• Incentive Bonus Plans
• Medical, Dental and Vision benefits
• 401(K) 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, belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally‑protected characteristic.