Spectrum Sensing Engineer
CHAOS Industries
| Company | CHAOS Industries |
| Category | Engineering |
| Location | Washington |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 2 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
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 Signal Processing Software Engineer to contribute to the successful development of our electromagnetic warfare product line. This role is critical to transforming our radar systems into sensing systems that detect, classify, and geolocate all RF emissions in the environment using advanced digital signal processing (DSP) algorithms. The Senior Engineer will contribute to the Spectrum Sensing Team in the development of algorithms, modeling, software integration, and the execution of field demonstrations of the technology. They will collaborate closely with Business Development (BD), Production, and other Engineering teams.
Responsibilities:
As a key contributor to the Spectrum Sensing Team, the Senior Engineer will play an integral role in developing and redefining the passive radar system into a distributed spectrum sensing system, with a focus on software and algorithm development. The day-to-day will be diverse, engaging, and intellectually stimulating, with a direct impact on pushing the boundaries of sensing technology and application. 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
Minimum Requirements:
B.S. degree in Electrical Engineering, Physics, Computer Science, or a related field
5+ years of relevant development experience
Experience working 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 (e.g., FFT analyses, matched filtering, cyclostationary analysis)
Proficiency in programming languages like Python, C++, or MATLAB for algorithm development and integration into current code base
Experience with software defined radios (SDR) and associated signal processing toolkits
Strong verbal and written communication skills, with the ability to clearly document technical details and present findings
Must be able to work on-site 3-5 days per week in Hawthorne CA or Washington D.C.
This role will require periodic travel, up to 30%
U.S. citizen
Ability to obtain and maintain a U.S. security clearance
Preferred Requirements:
M.S. degree in Electrical Engineering, Physics, Computer Science, or a 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 like JIRA and Confluence
Experience in DoD, military, or other Government environment performing in a related subject area (e.g. engineering, computer science, etc.) in a fast-paced, dynamic environment
Why C
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