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Remote Das Rf Engineer Jobs in Chantilly, VA (NOW HIRING)

AI/ML Engineer

Washington, DC ยท On-site +1

$130K - $170K/yr

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 ...

... timing RF remote monitoring, Strong systems thinking across interfaces, mission operations workflows, and service reliability engineering. Ability to operate autonomously in a fast-paced startup ...

... remote sensing, you have a clear grasp of mission design trades, RF spectrum considerations, and ... Bachelor's degree in relevant Engineering (e.g. Aerospace, Mechanical, Electrical, Systems ...

... remote sensing, you have a clear grasp of mission design trades, RF spectrum considerations, and ... Bachelor's degree in relevant Engineering (e.g. Aerospace, Mechanical, Electrical, Systems ...

Ground Station Lead

Herndon, VA ยท Remote

$139K - $172K/yr

... RF โ†’ remote monitoring, * Strong systems thinking across interfaces, mission operations workflows, and service reliability engineering. * Ability to operate autonomously in a fast-paced startup ...

Senior Software Engineer

Leesburg, VA ยท On-site +1

$123K - $163K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... RF) resource planning and management. As well, the role focuses on evaluating system performance ...

Senior Software Engineer

Leesburg, VA ยท On-site +1

$123K - $163K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... RF) resource planning and management. As well, the role focuses on evaluating system performance ...

Experience with RF communications, telemetry, or datalink systems * Background in defense or ... remote and/or hybrid work available depending on position. All compensation and benefits are ...

Experience with RF communications, telemetry, or datalink systems * Background in defense or ... remote and/or hybrid work available depending on position. All compensation and benefits are ...

Experience designing optical, radio frequency (RF), and/or high power avionics * Experience with ... Our positions are based in Reston, Virginia, with much of our team operating in a hybrid or remote ...

Experience designing optical, radio frequency (RF), and/or high power avionics * Experience with ... Our positions are based in Reston, Virginia, with much of our team operating in a hybrid or remote ...

Technical Satellite Policy Analyst

Washington, DC ยท On-site +1

$85K - $100K/yr

Our customers currently include teachers in the most remote parts of the Amazon, researchers in ... As SpaceX acquires new radio frequency (RF) spectrum, identify where enabling service requires us ...

5G PHY M&S Engineer

Mclean, VA ยท On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0246960 Location: McLean,VA,US Share job via: Share 5G PHY M&S ... Ability to do Omnivores for RF planning * Secret clearance * Bachelor's degree Nice If You Have:

Data Architecture & Engineering * Design and maintain enterprise data architectures supporting C ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

Showing results 41-60

Remote Das Rf Engineer information

See Chantilly, VA salary details

$37.9K

$120.5K

$187.4K

How much do remote das rf engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote das rf engineer in Chantilly, VA is $120,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $142,300.00 per year, depending on experience, location, and employer.

What does a Remote DAS RF engineer do?

A Remote DAS RF Engineer is responsible for designing, implementing, and optimizing Distributed Antenna Systems (DAS) to enhance wireless coverage in buildings and other structures. They focus on radio frequency (RF) engineering tasks, such as signal testing, troubleshooting, and system integration, often working remotely to support multiple locations. These engineers collaborate with project managers, field technicians, and clients to ensure seamless wireless connectivity and compliance with industry standards. Their work helps improve mobile signal quality in areas where traditional coverage is weak or unavailable.

What are the key skills and qualifications needed to thrive as a Remote DAS RF engineer?

To thrive as a Remote DAS RF Engineer, you need a strong background in wireless communications, RF engineering principles, and experience with Distributed Antenna Systems (DAS), often supported by a degree in electrical engineering or a related field. Familiarity with RF design tools (such as iBwave, Atoll, or DAS OEM software), network analyzers, and relevant certifications like iBwave Level 1 or 2 is typically required. Excellent problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These skills ensure reliable wireless coverage, efficient troubleshooting, and seamless coordination with clients and team members from remote locations.

What are some common challenges faced by Remote DAS RF engineers, and how can they be addressed?

Remote DAS RF Engineers often encounter challenges such as troubleshooting signal issues without being physically present on-site and coordinating with on-site teams or vendors. Effective communication skills and the ability to interpret remote monitoring data are essential for diagnosing and resolving issues efficiently. Utilizing advanced network management tools and maintaining organized documentation can help streamline remote collaboration and problem resolution. Regular virtual meetings and clear reporting structures also support smooth workflows in a distributed team environment.

What is the difference between Remote Das Rf Engineer vs Remote Rf Engineer?

AspectRemote Das Rf EngineerRemote Rf Engineer
CertificationsFCC, CE, or industry-specific RF certificationsFCC, CE, or industry-specific RF certifications
Work EnvironmentDesigning and testing Distributed Antenna Systems (DAS) in various locationsDesigning, testing, and troubleshooting RF systems, including cellular and wireless networks
Industry UsageTelecommunications, cellular networks, public safety networksTelecommunications, wireless service providers, network infrastructure

The Remote Das Rf Engineer specializes in designing and deploying Distributed Antenna Systems (DAS) for improved wireless coverage, often working on large-scale infrastructure projects. The Remote Rf Engineer has a broader focus on RF systems, including cellular and wireless network testing and troubleshooting. Both roles require similar certifications and industry knowledge but differ in their specific applications and project types.

What are popular job titles related to Remote Das Rf Engineer jobs in Chantilly, VA?

For Remote Das Rf Engineer jobs in Chantilly, VA, the most frequently searched job titles are:

What cities near Chantilly, VA are hiring for Remote Das Rf Engineer jobs?

Cities near Chantilly, VA with the most Remote Das Rf Engineer job openings:

Infographic showing various Remote Das Rf Engineer job openings in Chantilly, VA as of August 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 100% Remote job distribution, with an average salary of $120,481 per year, or $57.9 per hour.

AI/ML Engineer

Expression

Washington, DC โ€ข On-site, Remote

$130K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers, you will develop AI pipelines that enable intelligent signal characterization, data prioritization, distributed inference, and decision support while operating within constrained compute, bandwidth, and communications environments.

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.

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

Responsibilities:

  • Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.
  • Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.
  • Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.
  • Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.
  • Design AI orchestration workflows supporting distributed inference across multiple edge devices.
  • Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.
  • Implement model monitoring, observability, testing, and automated evaluation frameworks.
  • Collaborate with software engineers to integrate AI models into production software platforms.
  • Optimize models using quantization, pruning, distillation deployment technologies.
  • Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data.
  • Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.
  • Document model development, evaluation results, and technical recommendations.
  • Support customer demonstrations and prototype evaluations.

Required Qualifications:

  • Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.
  • 5-8+ years of professional experience developing production AI or machine learning applications.
  • Strong Python programming experience.
  • Experience with PyTorch.
  • Experience deploying LLMs in production environments.
  • Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.
  • Experience implementing Retrieval-Augmented Generation (RAG).
  • Experience with vector databases and semantic search.
  • Experience deploying AI models on edge or resource-constrained devices.
  • Experience with model optimization techniques including quantization, model compression, or inference acceleration.
  • Experience designing evaluation frameworks for AI systems.
  • Experience with Docker and cloud-native AI deployment.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Experience applying AI to sensor analytics, time-series data, or signal processing.
  • Experience with software-defined radio data, RF analytics, or geospatial data analytics.
  • Experience developing multimodal AI applications.
  • Experience deploying AI across distributed edge computing environments..
  • Experience supporting DoD, Intelligence Community, or Federal customers.
  • Experience working in bandwidth-constrained or disconnected operational environments.
  • 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 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