1

Contract Rf Filter Design Engineer Jobs in Washington, DC

The RF Design Engineer will be responsible for ensuring the smooth operation of our RF systems, from design to deployment, and will work closely with cross-functional teams to ensure systems meet ...

The RF Design Engineer will be responsible for ensuring the smooth operation of our RF systems, from design to deployment, and will work closely with cross-functional teams to ensure systems meet ...

Work with cross-functional teams across RF, electronics, and hardware domains to integrate ... design, such as filter design, clock recovery, signal detection, channel estimation and ...

... engineering services planned or performed. · Specify, design, procure, install equipment or ... and acoustic/RF attenuation technologies. Computer systems/encryption, firewalls, forensics ...

The RF Design Engineer will be responsible for ensuring the smooth operation of our RF systems, from design to deployment, and will work closely with cross-functional teams to ensure systems meet ...

... RF attenuation technologies. Documentation & Communication Produce a variety of written documents including engineering surveys, service reports, memoranda, trip reports, telegraphic communications ...

... RF attenuation technologies. Documentation & Communication Produce a variety of written documents including engineering surveys, service reports, memoranda, trip reports, telegraphic communications ...

next page

Showing results 1-20

Contract Rf Filter Design Engineer information

See Washington, DC salary details

$41.9K

$133.3K

$207.3K

How much do contract rf filter design engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for contract rf filter design engineer in Washington, DC is $133,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $157,400.00 per year, depending on experience, location, and employer.

What are Contract RF Filter Design Engineers?

Contract RF Filter Design Engineers are professionals who specialize in designing radio frequency (RF) filters on a contractual basis, rather than as permanent employees. They work with clients or companies to develop, analyze, and optimize electronic filters that control signal frequencies in RF systems, such as those found in wireless communications, radar, and broadcasting. Their work may involve using simulation software, prototyping, and testing to ensure filters meet specific performance criteria. These engineers often have expertise in electrical engineering, signal processing, and practical experience with various filter topologies. Contract roles can range from short-term projects to longer engagements, depending on the client's needs.

What are the key skills and qualifications needed to thrive as a Contract RF Filter Design Engineer, and why are they important?

To excel as a Contract RF Filter Design Engineer, you need a solid background in electrical engineering, expertise in RF/microwave filter theory, and experience with circuit simulation and design, typically supported by a relevant engineering degree. Proficiency with design and simulation tools such as ADS, HFSS, CST, and familiarity with network analyzers and CAD software is essential. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills that set top engineers apart. These capabilities ensure the development of high-performance, reliable RF filters that meet stringent client and project requirements.

What is the difference between Contract Rf Filter Design Engineer vs Contract RF Circuit Design Engineer?

AspectContract Rf Filter Design EngineerContract RF Circuit Design Engineer
Primary FocusDesigning RF filters for signal integrity and frequency selectionDesigning RF circuits including amplifiers, mixers, and oscillators
Skills & CertificationsRF filter theory, simulation tools, relevant certificationsRF circuit design, PCB layout, simulation tools
Work EnvironmentElectronics manufacturing, telecommunications, aerospaceWireless devices, telecommunications, defense

While both roles involve RF design, the Contract Rf Filter Design Engineer specializes in creating filters to shape signal spectra, whereas the Contract RF Circuit Design Engineer focuses on broader RF circuit components. The choice depends on whether the project emphasizes filter performance or overall RF circuitry development.

What are some typical challenges faced by a Contract RF Filter Design Engineer when joining a new project team?

As a Contract RF Filter Design Engineer, one common challenge is quickly adapting to different design methodologies and toolsets used by various clients. You may also encounter tight project timelines that require efficient problem-solving and rapid prototyping. Additionally, integrating your designs with existing system architectures and collaborating with cross-functional teams—such as hardware, testing, and manufacturing—can require strong communication skills to ensure all requirements are met. Being proactive in understanding client expectations and documentation standards is key to a smooth onboarding process.
What are the most commonly searched types of Rf Filter Design Engineer jobs in Washington, DC? The most popular types of Rf Filter Design Engineer jobs in Washington, DC are:
What are popular job titles related to Contract Rf Filter Design Engineer jobs in Washington, DC? For Contract Rf Filter Design Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Contract Rf Filter Design Engineer jobs in Washington, DC look for? The top searched job categories for Contract Rf Filter Design Engineer jobs in Washington, DC are:

Senior RF Geolocation Engineer

CHAOS Industries

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Key responsibilities

  • Design and derive advanced passive RF geolocation algorithms from first principles for distributed sensor networks.

  • Develop, implement, and refine software for passive geolocation, emitter localization, and RF scene analysis using programming languages such as Python, MATLAB, or C++.

  • Support algorithm integration, system calibration, test planning, and field validation in representative operational environments.


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 www.chaosinc.com.
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.
#LI-onsite