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Remote RF & SDR Engineer EW Sensing & DSP Prototyping

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: Swan
Remote/Work from Home position
Listed on 2026-05-28
Job specializations:
  • Engineering
    Systems Engineer, Robotics
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Remote RF & SDR Engineer for EW Sensing & DSP Prototyping

About Us:
Swan delivers the future of defense and industry through scalable autonomous products. Swan is backed by leading defense VCs including a16z's American Dynamism fund.



Role Overview :
We are seeking an experienced RF Engineer to join our team. This role will support the development of an electronic warfare detection and mapping product through hands-on RF and SDR experimentation, rapidly building, testing, and refining sensing prototypes. The role emphasizes fast iteration, in-field testing, and fielding working prototypes—assembling and tuning RF front ends, executing disciplined data collections, and developing DSP workflows to detect and characterize emitters from raw I/Q data.

Working closely with senior engineers and researchers, the engineer will translate ideas into practical experiments, validate performance with real-world data, document results, and help evolve reliable, deployable systems for complex RF environments.

Responsibilities
  • Build and iterate RF sensing prototypes for electronic warfare (EW) mapping experiments, including assembling and tuning receive chains (antenna filtering LNA/attenuation SDR) and validating performance through testing.

  • Execute field-style data collections using SDR platforms (USRP-class preferred), improving measurement reliability and quality through practical iteration (gain staging, front-end behavior, timing and metadata discipline).

  • Develop DSP workflows on raw I/Q data to detect and characterize signals of interest (time–frequency analysis, correlation/matched filtering, detection metrics, spectral features), with an emphasis on identifying and tracking emitters.

  • Apply lightweight parameter estimation and modeling to convert measurements into interpretable outputs (e.g., power trends, signal presence probability), and identify failure modes driven by real-world propagation and receiver artifacts.

  • Create simple, robust data tooling to support experimentation, including repeatable capture replay evaluation workflows.

  • Collaborate closely with senior engineers and researchers to translate ideas into structured experiments, validate assumptions with real data, and clearly document results and lessons learned.

Required Qualifications
  • Bachelor’s degree (or equivalent experience) in Electrical Engineering, Computer Engineering, Physics, or a closely related field.

  • Strong hands-on engineering mindset, including comfort building RF setups, swapping components, collecting measurements, and iterating until systems perform as expected.

  • Foundational knowledge of digital signal processing, including several of the following:

    • I/Q sampling fundamentals

    • FFTs and spectrograms (STFT)

    • basic filtering concepts

    • correlation and matched filtering

    • detection fundamentals (thresholding, false alarms, probability of detection)

  • Prior exposure to SDR systems (coursework, internship, or personal projects), ideally using tools such as UHD, GNU Radio, Soapy

    SDR, or Python-based SDR workflows, including experience capturing and interpreting spectrum and baseband data.

  • Proficiency in Python (with willingness to work in C++ as needed) for analysis scripts, basic pipelines, and reproducible experimentation.

  • Self-motivated and adaptable, with the ability to learn quickly, make progress independently, and ask thoughtful questions early.

Preferred Qualifications
  • Prior projects involving RF systems, such as:

    • antennas, LNAs, filters, and gain staging

    • diagnosing interference, spurs, compression/clipping

    • familiarity with lab tools (spectrum analyzer, signal generator, VNA, oscilloscope)

  • Exposure to navigation, estimation, or sensor fusion concepts (e.g., EKF fundamentals, uncertainty, coordinate frames).

  • Interest in field experimentation, including drones/robotics platforms, sensor logging, multi-stream synchronization, and test planning.

  • Experience with SIGINT, spectrum monitoring, or interference hunting (academic or personal is fine), particularly involving real over-the-air signals.

What We Offer:

Swan is a fast-paced, innovative, and collaborative startup environment. We offer a top-notch benefits package, including:

  • Top-tier health, dental, vision, short-/long-term disability, and life insurance, with…

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