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Rf Integration Jobs in Springfield, VA (NOW HIRING)

RF Systems Test Engineer

Chantilly, VA ยท On-site

$90 - $120/hr

Integrate flight and lab RF hardware electronics, design test beds, fixtures, etc. for operational verification of RF hardware and software technologies. * Design, develop, and document test and ...

New

RF Systems Test Engineer

Chantilly, VA ยท On-site

$90 - $120/hr

Integrate flight and lab RF hardware electronics, design test beds, fixtures, etc. for operational verification of RF hardware and software technologies. * Design, develop, and document test and ...

New

Senior Space Systems Engineer

Reston, VA ยท On-site

$110K - $151K/yr

Lead RF integration and test activities across space, ground, and user terminals. * Validate RF system performance against requirements such as Eb/N margins, throughput, interference resilience, and ...

Job Summary As an RF/Electrical Engineer at Lynk, you will be responsible for wearing many hats in ... Support spacecraft payload integration, testing, delivery to launch and spacecraft bus partners ...

RF/Electrical Engineer

Chantilly, VA ยท On-site

$85 - $115/hr

Job Summary As an RF/Electrical Engineer at Lynk, you will be responsible for wearing many hats in ... Support spacecraft payload integration, testing, delivery to launch and spacecraft bus partners ...

New

Support AI and electromagnetic (EM) analysis work by developing RF and signal-processing solutions that integrate with machine learning or advanced analytics frameworks. * Develop and enhance ...

Support AI and electromagnetic (EM) analysis work by developing RF and signal-processing solutions that integrate with machine learning or advanced analytics frameworks. * Develop and enhance ...

Collaborate with mechanical, systems, and integration teams to ensure RF performance, robustness, and manufacturability. * Generate detailed design documentation, drawings, and verification/test ...

Collaborate with mechanical, systems, and integration teams to ensure RF performance, robustness, and manufacturability. * Generate detailed design documentation, drawings, and verification/test ...

Collaborate with mechanical, systems, and integration teams to ensure RF performance, robustness, and manufacturability. * Generate detailed design documentation, drawings, and verification/test ...

Showing results 21-40

Rf Integration information

See Springfield, VA salary details

$34.5K

$95.7K

$149.9K

How much do rf integration jobs pay per year?

As of Aug 20, 2026, the average yearly pay for rf integration in Springfield, VA is $95,696.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $126,400.00 per year, depending on experience, location, and employer.

What is an RF Integration engineer?

RF Integration engineers are professionals who specialize in integrating radio frequency (RF) components and systems into electronic devices, ensuring they function correctly within a larger system. They work on tasks such as testing, troubleshooting, and optimizing the performance of RF modules in products like smartphones, wireless communication devices, and IoT hardware. Their responsibilities often include collaborating with hardware and software teams to resolve signal interference, improve connectivity, and ensure regulatory compliance. RF Integration engineers play a crucial role in bringing wireless products to market efficiently and reliably.

What are the key skills and qualifications needed to thrive as an RF Integration engineer?

To thrive as an RF Integration Engineer, you need a strong background in radio frequency (RF) engineering principles, signal processing, and wireless communication, often supported by a degree in electrical or telecommunications engineering. Proficiency with tools such as spectrum analyzers, network analyzers, RF simulation software (like Keysight ADS or Ansys HFSS), and familiarity with industry standards is essential. Strong problem-solving abilities, effective communication, and attention to detail are key soft skills that help in collaborating across teams and troubleshooting complex integration issues. These skills ensure reliable integration, optimization, and performance of RF systems critical for telecommunications and wireless infrastructure.

What are some common challenges faced by RF Integration engineers during multi-vendor system deployments?

RF Integration engineers often encounter challenges related to compatibility and interoperability when integrating equipment from multiple vendors. These issues can include mismatched interfaces, inconsistent software versions, and varying calibration standards, which require thorough testing and troubleshooting. Close collaboration with vendor representatives and internal teams is essential to resolve technical discrepancies and ensure seamless system performance. Additionally, managing tight project timelines and adhering to regulatory compliance adds complexity to the integration process.

What is the difference between Rf Integration vs Rf Design?

AspectRf IntegrationRf Design
Primary FocusAssembling and testing RF components and systems to ensure proper functionalityCreating and developing RF circuit layouts and specifications
Required SkillsTesting, troubleshooting, system integration, knowledge of RF hardwareCircuit design, simulation, schematic development, RF theory
Work EnvironmentLaboratories, manufacturing facilities, field testingDesign offices, R&D labs, engineering teams
Common CertificationsRF certifications, technical training in RF hardwareElectrical engineering degrees, RF design certifications

Rf Integration involves assembling and testing RF systems to ensure they work correctly, focusing on hardware and system-level troubleshooting. Rf Design centers on creating RF circuits and schematics, emphasizing design and simulation. Both roles require RF knowledge but differ in their primary tasks and work environments, making them distinct yet complementary careers in the RF industry.

What cities near Springfield, VA are hiring for Rf Integration jobs?

Cities near Springfield, VA with the most Rf Integration job openings:

Infographic showing various Rf Integration job openings in Springfield, VA as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, 1% Temporary, and 6% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $95,696 per year, or $46 per hour.

Senior RF Geolocation Engineer

CHAOS Industries

Washington, DC โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage-domain dominance. The company's products are powered by Coherent Distributed Networks (CDN ), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.
CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit ;br>
Role Overview:
We are seeking a proactive and detail-oriented Senior RF Geolocation Engineer to lead the development of advanced passive RF geolocation capabilities for our electromagnetic warfare product line. This role is focused on deriving, implementing, and validating high-performance localization solutions that enable CHAOS's distributed systems to detect, characterize, and geolocate non-cooperative RF emitters in complex environments. The engineer will contribute across the full algorithm lifecycle, from first-principles formulation and high-fidelity modeling through software integration, calibration, field demonstration, and validation, and will collaborate closely with Business Development, Production, and cross-functional Engineering teams.
Responsibilities:
As a key contributor to the Spectrum Sensing Team, the Senior RF Geolocation Engineer will help redefine our spectrum sensing capabilities around high-confidence passive geolocation. The day-to-day will be diverse, hands-on, and highly technical, with direct impact on next-generation distributed sensing products. The engineer will:
  • Design and derive advanced passive RF geolocation algorithms from first principles, with emphasis on TDOA, FDOA, and hybrid geolocation architectures across distributed sensor networks
  • Develop coherent and non-coherent passive geolocation and imaging approaches, including phase-aligned multi-node processing for interferometric performance and robust envelope-based localization methods
  • Apply statistical signal detection frameworks, including Neyman-Pearson, Bayesian, and CFAR methodologies, to maximize probability of detection across varying noise, interference, and target conditions
  • Apply estimation and detection theory, including maximum likelihood estimation, error bound analysis, and linear algebraic methods, to formulate robust and analytically defensible localization solutions
  • Model, simulate, and mitigate real-world nonidealities such as oscillator phase noise, timing jitter, calibration error, uncertain sensor geometry, and low-SNR operating conditions
  • Develop, implement, and refine software for passive geolocation, emitter localization, and RF scene analysis using Python, MATLAB, C++, or related languages
  • Translate mathematically intensive algorithms into efficient real-time implementations on DSP, GPU, or other accelerated compute architectures as system needs require
  • Build high-fidelity simulation environments to evaluate geolocation accuracy, sensitivity, error budgets, and system tradeoffs before deployment
  • Partner with hardware and systems engineers to define RF front-end and timing requirements by quantifying their effect on end-to-end geolocation performance
  • Support algorithm integration, system calibration, test planning, and field validation in representative operational environments
  • Clearly document algorithm assumptions, derivations, performance limits, and test results for internal stakeholders and external customers
  • This role will require periodic travel, up to 30%.

Minimum Requirements:
  • B.S. degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical field
  • 5+ years of relevant experience developing RF signal processing, estimation, or geolocation algorithms
  • Strong foundation in statistical and time-domain signal processing, detection and estimation theory, backpropagation, and applied linear algebra
  • Demonstrated experience developing passive RF geolocation algorithms, such as TDOA, FDOA, multilateration, direction finding, interferometry, or hybrid localization methods
  • Experience applying rigorous detection frameworks such as Neyman-Pearson, Bayesian inference, CFAR, or related methods to noisy and contested RF environments
  • Proficiency in Python, MATLAB, C++, or similar languages for modeling, simulation, and implementation of signal processing algorithms
  • Experience evaluating algorithm performance under real-world impairments, including low SNR, synchronization error, sensor geometry uncertainty, or interference
  • Ability to translate theoretical models into practical software suitable for integration with RF/SDR hardware and production code bases
  • Strong verbal and written communication skills, with the ability to clearly document technical approaches, assumptions, and performance results
  • Must be able to work on-site 3-5 days per week in Hawthorne, CA or Washington, D.C.
  • U.S. citizen
  • Ability to obtain and maintain a U.S. security clearance

Preferred Requirements:
  • M.S. or Ph.D. degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical field
  • Current U.S. security clearance
  • Deep expertise in passive RF geolocation, interferometric processing, distributed coherent sensing, or passive imaging architectures
  • Demonstrated community-accepted (peer-reviewed) contributions to geolocation techniques
  • Experience deriving estimators and analytical bounds such as maximum likelihood estimators, Cramer-Rao lower bounds, and geolocation error budgets
  • Experience optimizing signal processing algorithms for real-time execution on GPU, FPGA, DSP, or heterogeneous compute platforms
  • Experience taking algorithms from concept through simulation, integration, calibration, and field-test validation
  • Ability to define system-level requirements for RF front ends, clocks, synchronization, and calibration based on algorithm sensitivity and accuracy analysis
  • Expertise with software defined radios and associated RF signal processing toolchains
  • Experience in military or other government environments performing related technical work in a fast-paced, mission-driven setting
  • Experience with agile development tools such as JIRA and Confluence

Why CHAOS?
  • Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
  • Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
  • Our Perks: Free daily lunch, 'No meeting Fridays', unlimited PTO, casual dress code
  • Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
  • Team Growth: 250 employees and counting across 5 global offices

Salary Range: $180,000 - $230,000
The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.
Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.
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