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Salary: USD 180,000 - 230,000 / annual
CHAOS Industries is seeking a Senior RF Signal Processing Engineer to contribute to the development of advanced electromagnetic warfare and spectrum sensing products. The company, founded in 2022 and backed by $1 billion in funding from top-tier investors including 8VC, Accel, and Valor Equity Partners, is redefining modern defense through its Coherent Distributed Networks (CDN™) technology.
In this role, you will be a key contributor to the Spectrum Sensing Team, responsible for transforming radar systems into advanced sensing systems that detect, classify, and geolocate RF emissions using digital signal processing algorithms. You will develop and refine DSP algorithms, integrate signal processing software with RF/SDR hardware and host processing platforms, and collaborate closely with Business Development, Production, and other Engineering teams. The work is intellectually stimulating with direct impact on pushing the boundaries of sensing technology and tactical applications.
Key responsibilities include:
- Develop, implement, and refine advanced DSP algorithms to detect, identify, and track RF signals
- Integrate and test signal processing software with underlying RF/SDR hardware and host processing platforms
- Contribute to algorithm modeling, software integration, and field demonstrations
- Collaborate with cross-functional teams on product development and deployment
The role requires on-site presence 3–5 days per week in either Hawthorne, CA or Washington, D.C., with periodic travel up to 30%. CHAOS has 350+ employees across offices in Los Angeles, Washington D.C., San Francisco, San Diego, Seattle, and London.
Minimum Requirements:
- B.S. degree in Electrical Engineering, Physics, Computer Science, or related field
- 5+ years of relevant development experience
- Experience with RF sensing systems (active or passive) and advanced signal processing techniques
- Experience working with recorded I/Q data and generating synthetic I/Q data
- Strong theoretical understanding and practical application of signal processing techniques (FFT analyses, matched filtering, cyclostationary analysis)
- Proficiency in Python, C++, or MATLAB for algorithm development and integration
- Experience with software-defined radios (SDR) and associated signal processing toolkits
- Strong verbal and written communication skills with ability to document technical details and present findings
- U.S. citizen with ability to obtain and maintain a U.S. security clearance
Preferred Requirements:
- M.S. degree in Electrical Engineering, Physics, Computer Science, or related field
- Current U.S. security clearance
- Expertise in cyclostationary signal processing
- Demonstrated experience identifying commercial and non-commercial communication waveforms
- Expertise with electromagnetic spectrum sensing and classification techniques (e.g., machine learning for signal classification)
- Experience implementing signal processing algorithms for tactical applications
- Experience implementing signal processing algorithms on RFSOC hardware
- Experience with agile development tools (JIRA, Confluence)
- Prior experience in DoD, military, or Government environment in related technical roles
