Department OverviewMotorola 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 DescriptionResponsibilities:
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.
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Basic RequirementsMaster’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 RequirementsUnder 10%
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanYes
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!
