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Work From Home Software Defined Radio Engineer Jobs

Expression

Senior AI Software Engineer

Washington, DC · On-site +1

$180K - $210K/yr

The platform integrates software-defined radio (SDR) technologies, edge AI, distributed systems ... The ideal candidate is an experienced hands-on engineer who enjoys building complex systems from ...

Hatch IT

Senior AI Software Engineer

Washington, DC · Remote

$180K - $210K/yr

The platform integrates software-defined radio (SDR) technologies, edge AI, distributed systems ... The ideal candidate is an experienced hands-on engineer who enjoys building complex systems from ...

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Work From Home Software Defined Radio Engineer information

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$63.5K

$147.5K

$205.5K

How much do work from home software defined radio engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for work from home 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 does a work from home software defined radio engineer do?

A Work From Home Software Defined Radio Engineer designs, develops, and tests radio systems that use software for signal processing instead of traditional hardware components. They work remotely to create, maintain, and improve SDR (Software Defined Radio) applications, often collaborating with teams via digital communication tools. Their responsibilities can include writing software for signal demodulation, troubleshooting radio frequency issues, and integrating SDR systems with other technologies. This role typically requires strong programming skills and knowledge of wireless communication protocols.

What are the key skills and qualifications needed to thrive as a work from home software defined radio engineer, and why are they important?

To thrive as a Work From Home Software Defined Radio Engineer, you need a strong background in electrical engineering, digital signal processing, and radio frequency (RF) systems, typically supported by a relevant degree. Proficiency with software tools like GNU Radio, MATLAB, SDR platforms (e.g., USRP, HackRF), and familiarity with programming languages such as Python or C++ is essential. Strong problem-solving skills, self-motivation, and effective remote communication set standout professionals apart in this field. These skills and qualities are crucial for designing, testing, and troubleshooting SDR solutions independently, ensuring successful project outcomes in a remote work environment.

What is the difference between Work From Home Software Defined Radio Engineer vs Wireless Communications Engineer?

AspectWork From Home Software Defined Radio EngineerWireless Communications Engineer
CredentialsBachelor's or higher in Electrical Engineering, RF, or related; certifications like FCC or industry-specificBachelor's or higher in Electrical Engineering, Telecommunications, or related; similar certifications
Work EnvironmentPrimarily remote, focused on SDR development and testingTypically on-site or hybrid, involved in network design and deployment
Industry UsageUsed in defense, aerospace, and research sectors for SDR projectsUsed in telecom, networking, and wireless service providers

The main difference is that Work From Home Software Defined Radio Engineers focus on developing and testing SDR technology remotely, while Wireless Communications Engineers work on designing and maintaining wireless networks, often on-site. Both roles require similar technical skills and certifications but differ in work environment and industry focus.

What are the typical daily tasks and remote collaboration methods for a work from home software defined radio engineer?

As a Work From Home Software Defined Radio Engineer, your daily tasks often include designing, implementing, and testing SDR algorithms, writing code in languages such as C++ or Python, and analyzing signal data using specialized tools. Collaboration typically occurs through virtual meetings, code reviews, and shared repositories using platforms like Git, Jira, and Slack. Clear communication and thorough documentation are essential, since you’ll work closely with remote team members, including hardware engineers and system architects, to integrate and troubleshoot complex SDR systems.
More about Work From Home Software Defined Radio Engineer jobs
What cities are hiring for Work From Home Software Defined Radio Engineer jobs? Cities with the most Work From Home Software Defined Radio Engineer job openings:
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Work From Home Software Defined Radio Engineer jobs near you
Infographic showing various Work From Home Software Defined Radio Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Senior AI Software Engineer

Expression

Washington, DC • On-site, Remote

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 hours ago

Job description

Expression is seeking an experienced Senior AI Software Engineer and Technical Lead to lead the development of a prototype platform that performs intelligent data processing, distributed inference, and resilient edge computing in communication-constrained environments. The platform integrates software-defined radio (SDR) technologies, edge AI, distributed systems, and modern software engineering practices to enable autonomous processing and decision support at the tactical edge.

The ideal candidate is an experienced hands-on engineer who enjoys building complex systems from the ground up. You are equally comfortable designing system architecture, writing production-quality code, integrating hardware and software components, and mentoring other engineers while remaining deeply involved in implementation.

Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)

Responsibilities:

  • Lead the technical architecture and implementation of an edge-native intelligent processing platform supporting distributed sensing, edge inference, and resilient mission operations.
  • Design scalable software architectures supporting heterogeneous edge computing devices, software-defined radios, embedded compute platforms, and cloud-enabled mission services.
  • Develop high-performance backend services using Python, FastAPI, asynchronous programming, and modern distributed software engineering techniques.
  • Lead integration of Software Defined Radio (SDR) platforms (such as Ettus USRP, GNU Radio, or equivalent SDR ecosystems) into software pipelines for real-time data processing and analytics.
  • Design resilient distributed processing frameworks capable of operating under degraded, disconnected, intermittent, and bandwidth-constrained communications.
  • Develop intelligent data processing pipelines that reduce communication overhead through feature extraction, prioritization, and adaptive data management.
  • Design peer-to-peer communication services supporting decentralized collaboration across heterogeneous edge devices.
  • Implement secure synchronization, workload distribution, and fault-tolerant processing across multiple edge computing nodes.
  • Lead software integration across embedded Linux systems, containerized services, edge compute devices, and cloud infrastructure.
  • Establish software architecture standards, CI/CD pipelines, testing frameworks, DevSecOps practices, and engineering best practices.
  • Collaborate closely with AI engineers to integrate machine learning inference capabilities into production software.
  • Produce technical documentation, software architecture artifacts, interface specifications, and engineering design documentation.
  • Support technical demonstrations, customer engagements, and prototype evaluations.
  • Mentor junior engineers while maintaining significant hands-on software development responsibilities.

Required Qualifications:

  • Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or related fields. An advanced degree is preferred.
  • 10+ years of professional software engineering experience designing and building distributed software systems.
  • Demonstrated experience serving as technical lead of complex software development efforts.
  • Strong Python experience including, asyncio and asynchronous programming, FastAPI, Pydantic, type hinting, and modern development practices.
  • Experience developing distributed systems, microservices, or event-driven architectures.
  • Proven experience implementing retrieval architectures.
  • Experience deploying applications using Docker and cloud-native services within AWS or Azure.
  • Experience implementing CI/CD pipelines using GitLab CI, GitHub Actions, or similar automation platforms.
  • Experience with Kubernetes, Infrastructure as Code (Terraform and Helm, or equivalent), and modern cloud-native deployment practices.
  • Experience integrating hardware and software systems.
  • Experience designing resilient software systems capable of operating under degraded or intermittent network conditions.
  • Strong written and verbal communication skills with the ability to produce technical documentation and communicate effectively with technical and executive stakeholders.

Preferred Qualifications:

  • Experience with Software Defined Radio (GNU Radio, USRP, Ettus, SoapySDR, UHD, etc.)
  • Experience developing edge computing applications.
  • Experience with embedded Linux.
  • Experience supporting DoD, Intelligence Community, or Federal programs.
  • Experience with distributed data synchronization technologies.
  • Experience with low-latency data processing pipelines.
  • Experience working with autonomous systems, ISR, electronic warfare, or sensor fusion applications.
  • Experience integrating AI/ML inference into operational software systems.
  • Experience supporting National Security or Federal Civilian customers.

Location: Hybrid or Remote with limited travel

      Benefits:

      Expression offers competitive salaries and benefits, such as:

      • 401k matching
      • PPO and HDHP medical/dental/vision insurance
      • Education reimbursement up to $10,000/yr
      • Complimentary life insurance
      • Generous rollover PTO and 11 days of holiday leave
      • Onsite gym facility and trainer
      • Commuter Benefits Plan
      • In-office Cold Brew Coffee

      About Expression:

      Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, AI/ML, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest-growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

      We make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.

      Equal Opportunity Employer/Veterans/Disabled
      Expression is an Equal Opportunity Employer. If you require a reasonable accommodation during the application or interview process, please submit your request to our Human Resources department through the application portal.

      Employment Type: FULL_TIME

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