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Remote Software Defined Radio Engineer Jobs in Washington, DC

Senior AI Software Engineer

Washington, DC ยท Remote

$180K - $210K/yr

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 ...

AI/ML Engineer

Washington, DC ยท On-site +1

$130K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with software-defined radio data, RF analytics, or geospatial data analytics ... Hybrid or Remote with limited travel Benefits: Expression offers competitive salaries and benefits ...

Senior FPGA Engineer

Herndon, VA ยท On-site +1

$91K - $159K/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 FPGA Engineer

Herndon, VA ยท On-site +1

$91K - $159K/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 ...

AI/ML Engineer

Washington, DC ยท Remote

$130K - $170K/yr

Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine ... Experience with software-defined radio data, RF analytics, or geospatial data analytics.

Senior Solutions Architect, US Government

Washington, DC ยท On-site +1

$200K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with software-defined networking and network orchestration platforms * Background in ... Flexibility: Flexible working arrangements including hybrid remote/in-office schedules.

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Showing results 1-20

Remote Software Defined Radio Engineer information

See Washington, DC salary details

$71.9K

$167.1K

$232.7K

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

As of Aug 17, 2026, the average yearly pay for remote software defined radio engineer in Washington, DC is $167,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $195,900.00 per year, depending on experience, location, and employer.

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.

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 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 the most commonly searched types of Software Defined Radio Engineer jobs in Washington, DC?

The most popular types of Software Defined Radio Engineer jobs in Washington, DC are:

What are popular job titles related to Remote Software Defined Radio Engineer jobs in Washington, DC?

For Remote Software Defined Radio Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Software Defined Radio Engineer jobs in Washington, DC look for?

The top searched job categories for Remote Software Defined Radio Engineer jobs in Washington, DC are:

Senior AI Software Engineer

Hatch IT

Washington, DC โ€ข Remote

$180K - $210K/yr

Full-time

Re-posted 8 days ago


Job description

hatch I.T. is partnering with Expression to find a Senior AI Software Engineer. See details below:

About The Role:

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)

About the Company:

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, 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 “Perpetual Innovation” culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their 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.

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.
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.

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 PTO and 11 days of holiday leave
  • Onsite gym facility and trainer
  • Commuter Benefits Plan
  • In-office Cold Brew Coffee

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.