Senior Rf Geolocation Engineer

Chaos Industries Inc

Washington, United States
Base: $180,000 - $230,000; bonus/equity: generous ...
On-site
Passive rf geolocation algorithms
Tdoa, fdoa, and hybrid architectures
Statistical signal detection frameworks
Lead the development of advanced passive RF geolocation capabilities for the electromagnetic warfare product line

Job Summary

  • Lead the development of advanced passive RF geolocation capabilities for the 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.
  • CHAOS Industries offers competitive compensation, generous pre-IPO stock option grants, relocation assistance, and comprehensive health benefits with 100% company-paid medical, dental, and vision.

Matching Summary

Lead the development of advanced passive RF geolocation capabilities for the electromagnetic warfare product line.

Salary

Base: $180,000 - $230,000; Bonus/Equity: generous pre-IPO stock option grants, (coming soon!) annual bonuses; Benefits: Medical, dental, and vision benefits 100% paid for by the company, 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance

Skills & Requirements

Must-have

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

Nice-to-have

  • deep expertise in passive RF geolocation
  • interferometric processing
  • distributed coherent sensing
  • passive imaging architectures
  • community-accepted geolocation contributions
  • deriving estimators and analytical bounds
  • optimizing algorithms for GPU, FPGA, DSP
  • software defined radios and toolchains
  • 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 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 US citizenship

Tailored Resume

Cover Letter