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Software Defined Radio Engineer Jobs in Texas (NOW HIRING)

Nokia

5G gNB PHY Developer

Plano, TX · On-site

$105K - $195K/yr

As an Applied R&D Engineer 4 - SW, you will play a crucial role in our TAO BLSR Space Communication ... Familiarity with software-defined radio (SDR) and real-time embedded systems, enabling efficient ...

Nokia

5G gNB PHY Developer

Plano, TX · On-site

As an Applied R&D Engineer 4 - SW, you will play a crucial role in our TAO BLSR Space Communication ... Familiarity with software-defined radio (SDR) and real-time embedded systems, enabling efficient ...

Prolim Global

Private Cellular Engineer

Plano, TX · On-site

... of cellular/radio network hardware and software, by planning capacity of the Cellular ... The Cellular Engineer collaborates with other network teams (LAN, WAN, Security) and domain ...

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Software Defined Radio Engineer information

What is a software defined radio engineer?

A Software Defined Radio (SDR) Engineer designs, develops, and optimizes radio communication systems using software-based signal processing. They work with hardware like FPGA, DSP, and general-purpose processors to implement and refine wireless protocols. SDR engineers are responsible for coding in languages such as C++, Python, or VHDL, and working with tools like GNU Radio or MATLAB. Their expertise is applied in fields like telecommunications, defense, and IoT. The role often involves testing, debugging, and improving radio performance in dynamic environments.

What are the key skills and qualifications needed to thrive as a software defined radio engineer?

To thrive as a Software Defined Radio Engineer, you need a strong background in signal processing, RF engineering, and programming languages such as C++, Python, or MATLAB, typically supported by a degree in electrical engineering or a related field. Familiarity with tools like GNU Radio, USRP hardware, and SDR frameworks, as well as certifications like HAM radio licenses or security clearances, is often valuable. Analytical thinking, effective problem-solving, and strong teamwork abilities distinguish candidates in this role. These skills are essential for developing, testing, and deploying advanced radio communication systems in dynamic and collaborative technical environments.

What are the typical daily responsibilities of a software defined radio engineer?

As a Software Defined Radio Engineer, your daily tasks will likely include designing, developing, and testing SDR algorithms and systems, performing signal analysis, and troubleshooting hardware or software issues. You may spend time configuring and simulating radio systems, collaborating closely with cross-functional teams such as embedded engineers and project managers, and creating technical documentation. Additionally, staying current with emerging SDR technologies and participating in team meetings to review project progress are common responsibilities. This dynamic environment combines hands-on experimentation with strategic planning, making each day varied and engaging.

What are the most commonly searched types of Software Defined Radio Engineer jobs in Texas? The most popular types of Software Defined Radio Engineer jobs in Texas are:
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Software Defined Radio Engineer jobs near you
Infographic showing various Software Defined Radio Engineer job openings in Texas as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution.

5G gNB PHY Developer

Nokia

Plano, TX • On-site

$105K - $195K/yr

Full-time

Re-posted 21 days ago

Nokia rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

30th of 97 rated telecommunications companies

Job description


As an Applied R&D Engineer 4 - SW, you will play a crucial role in our TAO BLSR Space Communication Solutions department. Your primary focus will be on the Physical Layer (PHY) development for 5G NR gNB, ensuring compliance with 3GPP specifications. This role offers an exciting opportunity to work with cutting-edge technologies and contribute to the advancement of 5G network performance.
Responsibilities
  • Design, develop, and optimize the PHY layer for 5G NR gNB, adhering to 3GPP standards.
  • Implement and optimize PHY algorithms, including channel estimation, equalization, beamforming, MIMO, and decoding techniques.
  • Work on DSP/FPGA/GPU implementations for real-time signal processing, ensuring efficient and reliable performance.
  • Develop and optimize the L1-L2 interface for high-performance data processing, enhancing overall system efficiency.
  • Collaborate with system engineers to analyze PHY layer performance and identify areas for improvement.
  • Conduct thorough unit and integration testing, debugging, and performance tuning of PHY software and firmware.
  • Optimize PHY layer for latency, throughput, and power efficiency, balancing performance and resource utilization.
  • Integrate PHY with RF front-end components, ensuring seamless communication and optimal system performance.
  • Stay updated with 3GPP releases and implement necessary changes in PHY processing to maintain compliance.
  • Provide technical expertise and guidance to junior team members, fostering a collaborative and supportive work environment.

Qualifications
  • 2-3 years of hands-on experience in 5G NR/LTE PHY Layer development, demonstrating a strong understanding of OFDM, MIMO, and other key PHY concepts.
  • Proficiency in C/C++, MATLAB, and Python for algorithm development and simulation, ensuring efficient and reliable code implementation.
  • Experience with DSPs, FPGAs, or GPUs for real-time PHY processing, optimizing signal processing and system performance.
  • Solid knowledge of 3GPP specifications, particularly 38.211, 38.212, 38.213, and 38.214, ensuring compliance and effective implementation.
  • Familiarity with software-defined radio (SDR) and real-time embedded systems, enabling efficient development and testing.
  • Experience in debugging and performance tuning of PHY layer implementations, ensuring robust and optimized system performance.
  • Knowledge of signal processing libraries like FFTW is preferred, enhancing the efficiency and accuracy of signal processing tasks.
  • Strong problem-solving skills and the ability to work effectively in a team-oriented environment, fostering collaboration and innovation.
  • Experience in 5G PHY testing and validation using industry-leading tools is an advantage, ensuring accurate and reliable testing.
  • A B.E/B.Tech or M.E/M.Tech degree in Electronics, Telecommunications, Computer Science, or a related field, providing a strong technical foundation.

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