Numerical Computing Software Engineer for RF Sensing
Chaos Industries
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Benefits offered by this job
Job summary
CHAOS Industries is seeking a software engineer fluent in numerical computing to build the software foundation of our electromagnetic warfare product line. Our Spectrum Sensing team is transforming CHAOS radar systems into distributed sensing systems that detect, classify, and geolocate RF emissions — and the algorithms that do it only matter if they run correctly, quickly, and reliably in production.
The role emphasizes production-quality Python, fast numeric code, and integrating third-party
Qualifications
- BS degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related field.
- 5+ years of professional software development experience.
- Proficiency in Python for numerical computing with production-quality code.
- Strong experience with array-based numerical computing (NumPy, SciPy).
- Experience with JIT, GPU acceleration, or Python/compiled language bindings.
- Experience contributing to a large multi-team codebase and CI workflows.
- Excellent written and verbal communication skills.
- Ability to work on-site 4 days/week in Washington, DC.
- U.S. citizen and ability to obtain security clearance.
Responsibilities
- Design, develop, and maintain production-quality numerical software in Python with clear interfaces.
- Integrate third-party software and hardware into the CHAOS platform via APIs and manage abstractions.
- Profile and accelerate signal processing implementations with vectorization, JIT, or GPU offload.
- Define and drive tests, regression tests, and CI hygiene for numerical code.
- Collaborate with signal processing engineers to turn papers and prototypes into shippable software.
- Contribute to software architecture decisions for the sensing product line.
- This role may require travel up to 30%.
Skills
Education
Tools
Job description
CHAOS Industries is seeking a software engineer fluent in numerical computing to build the software foundation of our electromagnetic warfare product line. Our Spectrum Sensing team is transforming CHAOS radar systems into distributed sensing systems that detect, classify, and geolocate RF emissions — and the algorithms that do it only matter if they run correctly, quickly, and reliably in production.
The role emphasizes production-quality Python, fast numeric code, and integrating third-party
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