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Phd Signal Processing Jobs in Texas (NOW HIRING)

RF Modeling Manager

Richardson, TX · On-site

$140K - $170K/yr

Apply advanced signal processing techniques, filtering, smoothing, noise reduction, time-series ... Master's degree with 6+ years of relevant work or a PhD (preferred) with 4+ years of professional ...

Apply advanced signal processing techniques, filtering, smoothing, noise reduction, time-series ... Master's degree with 6+ years of relevant work or a PhD (preferred) with 4+ years of professional ...

Sr. Antenna Engineer (Starlink)

Bastrop, TX · On-site

$103K - $142K/yr

Work in close collaboration with electrical, mechanical, digital signal processing, and software ... Master's degree or PhD in electrical engineering with emphasis in RF/antenna engineering

... signal processing pipeline, and system-level performance targets that guide the full IC development ... PhD in Electrical Engineering Minimum Qualifications Experience in analog and mixed-signal ASIC ...

Showing results 41-60

Phd Signal Processing information

What is a PhD signal processing professional?

PhD Signal Processing professionals are experts who have earned a Doctor of Philosophy (PhD) in the field of signal processing, which involves analyzing, modifying, and interpreting signals such as sound, images, and scientific measurements. They apply advanced mathematical and computational techniques to extract meaningful information from complex data. These specialists often work in research, academia, telecommunications, medical imaging, audio engineering, and other industries that require sophisticated data analysis. Their work is crucial in developing technologies like speech recognition, radar systems, and biomedical devices.

What are the key skills and qualifications needed to thrive as a PhD signal processing specialist?

To thrive as a PhD Signal Processing specialist, you need deep expertise in mathematics, statistical analysis, and advanced signal processing algorithms, underpinned by a doctoral degree in electrical engineering or a related field. Proficiency in MATLAB, Python, C++, and experience with simulation tools and machine learning frameworks are commonly required, along with publications or research experience. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are vital for designing innovative solutions, advancing research, and conveying complex findings to both technical and non-technical stakeholders.

What are some common challenges faced by professionals in PhD-level signal processing roles and how can they be addressed?

PhD-level Signal Processing professionals often encounter challenges such as managing large, complex datasets and developing novel algorithms that balance accuracy and computational efficiency. Staying current with rapidly evolving technologies and research can also be demanding. These challenges are typically addressed through ongoing professional development, collaboration with multidisciplinary teams, and leveraging advanced computational tools. Regularly participating in conferences, workshops, and peer discussions can also help professionals overcome research hurdles and stay innovative in their field.

What is the difference between Phd Signal Processing vs Signal Processing Engineer?

AspectPhd Signal ProcessingSignal Processing Engineer
Required CredentialsPhD in Signal Processing or related fieldBachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, technology companies, product development
Employer & Industry UsageUniversities, research institutions, some tech companiesTech firms, telecommunications, aerospace, defense
Common Search & ComparisonYesYes

The main difference between Phd Signal Processing and Signal Processing Engineer lies in their focus and credentials. A PhD typically involves advanced research, theoretical work, and academic or R&D roles, while a Signal Processing Engineer applies practical skills in industry to develop and implement signal processing solutions. Both roles require knowledge of signal processing concepts, but their work environments and career paths differ significantly.

Is a PhD worth it in electrical engineering?

A PhD in electrical engineering, including signal processing, can lead to advanced research, academic positions, and specialized roles in industry. It typically requires several years of study and research, but can result in higher earning potential and expertise in areas like algorithms, hardware, and data analysis.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, especially for roles involving data analysis, algorithm development, and system design. Professionals with expertise in digital signal processing, machine learning, and programming tools like MATLAB or Python are sought after as technology advances and data-driven solutions expand.

What job categories do people searching Phd Signal Processing jobs in Texas look for?

The top searched job categories for Phd Signal Processing jobs in Texas are:

What cities in Texas are hiring for Phd Signal Processing jobs?

Cities in Texas with the most Phd Signal Processing job openings:

Infographic showing various Phd Signal Processing job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

RF Modeling Manager

Motorola Solutions, Inc.

Richardson, TX • On-site

$140K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago


Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

19th of 159 rated electronics manufacturers


Job description

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.

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About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928