Staff Rf Geolocation Engineer

Chaos Industries Inc

Washington, United States
$180,000 - $230,000; not specified; medical, denta...
On-site (3-5 days per week in hawthorne, ca or washington, d.c.)
Passive rf geolocation algorithms
Tdoa, fdoa, and hybrid architectures
Statistical signal detection frameworks
CHAOS Industries Inc. is seeking a Staff RF Geolocation Engineer to develop advanced passive RF geolocation capabilities for their electromagnetic warfare product line. The ideal candidate will have significant experience in RF signal processing and algorithm development, and the position offers competitive compensation and comprehensive benefits

Job Summary

  • Lead the development of advanced passive RF geolocation capabilities for our electromagnetic warfare product line.
  • Design and derive advanced passive RF geolocation algorithms from first principles, with emphasis on TDOA, FDOA, and hybrid geolocation architectures across distributed sensor networks.
  • 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.

Matching Summary

Match Score: 85

CHAOS Industries Inc. is seeking a Staff RF Geolocation Engineer to develop advanced passive RF geolocation capabilities for their electromagnetic warfare product line. The ideal candidate will have significant experience in RF signal processing and algorithm development, and the position offers competitive compensation and comprehensive benefits.

Salary

$180,000 - $230,000; Not specified; Medical, dental, and vision benefits 100% paid for by the company, 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more

Skills & Requirements

Must-have

  • passive RF geolocation algorithms
  • TDOA, FDOA, and hybrid architectures
  • statistical signal detection frameworks
  • estimation and detection theory
  • modeling real-world nonidealities
  • software development in Python, MATLAB, C++
  • real-time implementation on accelerated architectures
  • high-fidelity simulation environments
  • define RF front-end and timing requirements
  • algorithm integration and field validation

Nice-to-have

  • deep expertise in passive RF geolocation
  • interferometric processing
  • distributed coherent sensing
  • passive imaging architectures
  • community-accepted contributions
  • deriving analytical bounds
  • optimizing for GPU, FPGA, DSP
  • software defined radios
  • military or government environments
  • agile development tools

Key Requirements

  • B.S. degree in Electrical Engineering, Applied Mathematics, Physics, or related
  • 5+ years of experience in RF signal processing, estimation, or geolocation algorithms
  • Strong foundation in statistical signal processing, detection and estimation theory
  • Demonstrated experience developing passive RF geolocation algorithms
  • Experience applying rigorous detection frameworks
  • Proficiency in Python, MATLAB, C++
  • Experience evaluating algorithm performance under real-world impairments
  • Ability to translate theoretical models into practical software
  • Strong verbal and written communication skills
  • Must be able to work on-site 3-5 days per week
  • U.S. citizen
  • Ability to obtain and maintain a U.S. security clearance

Work Rights

Must have U.S. citizenship

Tailored Resume

Cover Letter