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CHAOS Industries

Senior RF Geolocation Engineer

CHAOS Industries · Washington, District of Columbia, United States

Posted about 2 months ago · $180,000 - $230,000

or apply directly on CHAOS Industries's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
CHAOS Industries's roles stay open a median of 66 days
Reposted
No
Salary listed
Yes
93% of CHAOS Industries's roles list one
Ghost-job risk at CHAOS Industries
high
123 stale, 1 reposted of 146 open
Hiring momentum
237 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from CHAOS Industries's own greenhouse board since 2026-08-03. Full hiring picture for CHAOS Industries.

About this role

The Senior RF Geolocation Engineer at CHAOS Industries will lead the development of advanced passive RF geolocation capabilities for electromagnetic warfare products. Responsibilities include designing algorithms, modeling and simulating geolocation solutions, and collaborating with cross-functional teams to ensure effective integration and validation of these technologies. The role is hands-on and technical, requiring expertise in RF signal processing and statistical methods.

Our read on this posting4.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of CHAOS Industries as an employer.

What you need

  • B.S. degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical field
  • 5+ years of relevant experience developing RF signal processing, estimation, or geolocation algorithms
  • Strong foundation in statistical and time-domain signal processing, detection and estimation theory, backpropagation, and applied linear algebra
  • Demonstrated experience developing passive RF geolocation algorithms, such as TDOA, FDOA, multilateration, direction finding, interferometry, or hybrid localization methods
  • Experience applying rigorous detection frameworks such as Neyman-Pearson, Bayesian inference, CFAR, or related methods to noisy and contested RF environments
  • Proficiency in Python, MATLAB, C++, or similar languages for modeling, simulation, and implementation of signal processing algorithms

Nice to have

  • M.S. or Ph.D. degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical field
  • Current U.S. security clearance
  • Deep expertise in passive RF geolocation, interferometric processing, distributed coherent sensing, or passive imaging architectures
  • Demonstrated community-accepted (peer-reviewed) contributions to geolocation techniques
  • Experience deriving estimators and analytical bounds such as maximum likelihood estimators, Cramer-Rao lower bounds, and geolocation error budgets

What you get

  • Medical, dental, and vision benefits 100% paid for by the company
  • 401k (+ 50% company match up to 6% of pay)
  • FSA
  • HSA
  • life insurance
  • Free daily lunch

Worth weighing

  • The role requires periodic travel, up to 30%.
  • The salary range is an estimate based on various compensation factors and may vary based on experience and skills.
  • Must work on-site 3-5 days per week, which may limit remote work flexibility.

Summarised from CHAOS Industries's posting. Read the full original.

Listed by CHAOS Industries on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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