Lead Radar Signal Processing Engineer

CHAOS Industries

El Segundo (CA)

On-site

USD 110,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Health benefits
401k match
FSA/HSA
Life insurance
Free daily lunch
No meeting Fridays
Unlimited PTO
Relocation assistance
Annual bonuses

Job summary

CHAOS Industries is seeking a senior radar systems engineer to design and develop advanced radar signal processing algorithms for target detection, tracking, and classification. You will lead radar capability development with minimal guidance and optimize performance for real-time constraints.

The role requires deep radar knowledge, strong Python/C++/MATLAB skills, and experience with RF systems; you will model, simulate, and test systems while mentoring junior engineers on onsite work in

Qualifications

  • Bachelor’s degree in Science, Technology, Engineering or Mathematics or related field.
  • 10+ years of radar systems experience.
  • Deep understanding of radar principles, signal processing techniques, and algorithms.
  • Strong programming skills in Python or MATLAB; C++ experience preferred.
  • Systems Engineering experience with RF systems.

Responsibilities

  • Design and develop advanced radar signal processing algorithms for target detection, tracking, and classification.
  • Lead development of new radar capabilities with minimal guidance.
  • Optimize algorithms for real-time performance and resource constraints.
  • Implement algorithms in software (C++, Python, MATLAB) and/or hardware (FPGAs, DSPs).
  • Model and simulate radar systems and sub-systems; plan field tests.

Skills

Radar signal processing
C++
Python
MATLAB
FPGAs
DSP
Algorithm development
Mentoring
Independent work

Education

Bachelor’s degree in STEM
Graduate degree in STEM

Tools

C++
Python
MATLAB
FPGAs
DSPs

Job description

CHAOS Industries is seeking a senior radar systems engineer to design and develop advanced radar signal processing algorithms for target detection, tracking, and classification. You will lead radar capability development with minimal guidance and optimize performance for real-time constraints.

The role requires deep radar knowledge, strong Python/C++/MATLAB skills, and experience with RF systems; you will model, simulate, and test systems while mentoring junior engineers on onsite work in

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