Lead Radar Systems Engineer, Space IoT & LEO

E-Space

Arlington (TX)

On-site

USD 120,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Competitive salaries
Professional growth
Health and wellness
Continuous learning
Paid holidays

Job summary

E-Space in Texas is hiring a Senior Radar/Signal Processing Engineer to design algorithms for channel processing, beamforming, and high-rate data handling on LEO platforms.

You will develop models, simulations, and test vectors, and allocate processing across GPU, FPGA, embedded, and software resources while optimizing latency and throughput. U.S. citizenship and security clearance are required. This is a fast-paced, high-impact environment with competitive pay.

Qualifications

  • Bachelor's or higher in electrical engineering, applied mathematics, physics, or related field.
  • Five+ years of radar, sonar, communications, or high-rate signal-processing experience.
  • Strong DSP fundamentals and proficiency in MATLAB, Python, C/C++, CUDA, or comparable tools.

Responsibilities

  • Develop algorithms for channel processing, beamforming, detection, estimation, calibration, interference mitigation, and related radar functions.
  • Create performance models, simulations, reference implementations, and test vectors.
  • Allocate processing functions across GPU, FPGA, embedded, and software resources.
  • Characterize latency, throughput, numerical precision, resource use, and failure behavior.
  • Support prototype demonstrations, requirements verification, software development, and I&T.

Skills

Radar signal processing
DSP fundamentals
MATLAB
Python
C/C++
CUDA
Real-time implementations
Security clearance

Education

Bachelor's or higher in EE/Math/Physics

Tools

MATLAB
Python
C/C++
CUDA

Job description

E-Space in Texas is hiring a Senior Radar/Signal Processing Engineer to design algorithms for channel processing, beamforming, and high-rate data handling on LEO platforms.

You will develop models, simulations, and test vectors, and allocate processing across GPU, FPGA, embedded, and software resources while optimizing latency and throughput. U.S. citizenship and security clearance are required. This is a fast-paced, high-impact environment with competitive pay.

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