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Remote Software Defined Radio Engineer Jobs (NOW HIRING)

Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area Description A Software Engineer is needed to design, develop, and maintain modern software applications and services.

... defined networking platforms to the aerospace industry. With technology acquired from Google ... We are revolutionizing the orchestration and management of planetary mesh networks using any radio ...

Senior FPGA Engineer

Herndon, VA ยท On-site +1

$133.70K - $171.70K/yr

This position is based out of our Herndon, VA location with the option of a remote work schedule ... Understanding of Software Defined Radio (SDR) in regards to abstracting hardware * Experience with ...

Senior DSP Algorithm Engineer

Santa Clara, CA ยท On-site +1

$141.91K - $269.10K/yr

... software-defined radio technologies. This position offers the unique opportunity to work at the ... Due to legal regulations, remote work from any other country is unfortunately not permitted. * Job ...

... defined networking platforms to the aerospace industry. With technology acquired from Google ... We are revolutionizing the orchestration and management of planetary mesh networks using any radio ...

Senior Software Engineer

$125.40K - $165.30K/yr

Remote * Software Engineer III: 6-10 years experience * Software Engineer IV: 11-15 years experience This project follows a 10-year roadmap and offers long-term stability and growth. About the Role ...

Senior Software Engineer

Huntsville, AL ยท On-site +1

$120.70K - $159.10K/yr

Senior Software Engineer We are seeking a Senior Software Engineer to enhance and modernize our control software for Remote Weapon Station (RWS) platforms. This role focuses on the evolution of Java ...

... defined networking platforms to the aerospace industry. With technology acquired from Google ... We are revolutionizing the orchestration and management of planetary mesh networks using any radio ...

... defined networking platforms to the aerospace industry. With technology acquired from Google ... We are revolutionizing the orchestration and management of planetary mesh networks using any radio ...

Remote-based, Americas and EMEA What your day will look like * Translate Service Provider ... Design and deliver software defined infrastructure with OpenStack, Kubernetes, MAAS and Ceph * Help ...

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Remote Software Defined Radio Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do remote software defined radio engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote software defined radio engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Software Defined Radio Engineer, and why are they important?

To thrive as a Remote Software Defined Radio Engineer, you need a strong background in electrical engineering, digital signal processing, and RF communications, typically supported by a relevant degree. Proficiency with SDR platforms (such as GNU Radio, USRP, or MATLAB), wireless protocols, and programming languages like Python or C++ is essential. Strong problem-solving, independent work ethic, and effective remote communication skills help set candidates apart. These abilities are crucial for designing, implementing, and troubleshooting complex radio systems in distributed and collaborative environments.

What are some typical challenges faced by Remote Software Defined Radio Engineers, and how can they be addressed?

Remote Software Defined Radio (SDR) Engineers often encounter challenges such as managing complex signal processing tasks, ensuring reliable communication across distributed teams, and staying updated with evolving SDR technologies. Working remotely may also require effective collaboration using digital tools and clear documentation to align with colleagues on system design and troubleshooting. To overcome these challenges, SDR Engineers benefit from proactive communication, regular code reviews, and ongoing professional development through webinars and technical forums.

What does a Remote Software Defined Radio Engineer do?

A Remote Software Defined Radio (SDR) Engineer designs, develops, and maintains radio communication systems that are implemented through software rather than traditional hardware circuits. Working remotely, they use programming languages and signal processing techniques to create flexible and efficient radio solutions for applications such as telecommunications, defense, and research. Their responsibilities include developing algorithms, optimizing radio performance, troubleshooting signal issues, and collaborating with cross-functional teams, all while leveraging remote communication and development tools.

What is the difference between Remote Software Defined Radio Engineer vs RF Engineer?

AspectRemote Software Defined Radio EngineerRF Engineer
CredentialsBachelor's/Master's in Electrical Engineering, Communications, or related fields; experience with SDR platformsBachelor's/Master's in Electrical Engineering, RF Engineering, or related fields; certifications like FCC or RF-specific training
Work EnvironmentRemote or on-site, focused on software development and signal processingPrimarily on-site or lab-based, focused on hardware, testing, and RF system design
Industry UsageTelecommunications, defense, aerospace, software companiesWireless communications, broadcasting, defense, telecommunications

The Remote Software Defined Radio Engineer specializes in developing and implementing SDR systems through software, often working remotely. In contrast, the RF Engineer focuses on hardware design, testing, and deployment of RF systems. Both roles require technical expertise but differ mainly in their focus on software versus hardware components.

More about Remote Software Defined Radio Engineer jobs
What cities are hiring for Remote Software Defined Radio Engineer jobs? Cities with the most Remote Software Defined Radio Engineer job openings:
What are the most commonly searched types of Software Defined Radio Engineer jobs? The most popular types of Software Defined Radio Engineer jobs are:
What states have the most Remote Software Defined Radio Engineer jobs? States with the most job openings for Remote Software Defined Radio Engineer jobs include:
What job categories do people searching Remote Software Defined Radio Engineer jobs look for? The top searched job categories for Remote Software Defined Radio Engineer jobs are:
Infographic showing various Remote Software Defined Radio Engineer job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 69% Full Time, 15% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Software Engineer (US-Remote)

Other

Posted 17 days ago


Job description

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Software Engineer (US-Remote)
Summary
Title: Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area
Description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.

Overview

Location

  • US-Remote or Marlton, NJ area

Job Title

  • Software Engineer

Salary

  • Commensurate with industry position, depending on experience

Shift

  • Typical: Monday through Friday 9am to 5pm

Travel

  • Less than 5%

Position Responsibilities

  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance

  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills

  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications

  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required

  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience

  • 2+

===============================================================

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.govย 
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.

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