Radar Signal Processing Engineer - Hybrid Remote

Kforce Inc; Orem (UT); Hybrid; USD 85,000 - 120,000; Full time

Job summary

Kforce is seeking a junior to mid-level Radar Signal Processing Engineer in Orem, UT (Hybrid Remote). The role focuses on developing advanced radar and digital signal processing algorithms for next-generation sensing systems.

Responsibilities include designing and validating DSP algorithms for detection and interference mitigation, advancing radar techniques, and implementing solutions in C++ and CUDA for deployment on target hardware while leveraging real-world data for validation and

Qualifications

• BS/MS/PhD in EE/CE/physics/math or related field
• 1–4+ years in radar signal processing or related work
• C++ programming in production environments preferred
• Python or MATLAB for prototyping algorithms

Responsibilities

• Design and validate DSP algorithms for detection, RF calibration, parameter estimation, and interference mitigation
• Develop and optimize radar algorithms for real-world applications
• Implement solutions in C++ and CUDA for deployment on target hardware
• Use real-world data to test, validate, and refine algorithm performance
• Collaborate with hardware and application teams to ensure radar system requirements are met

Skills

Digital Signal Processing

Radar algorithms

C++ programming

CUDA

Python

MATLAB

Beamforming

STAP

MIMO

CFAR

Fourier transforms

Digital filters

Linear algebra

Statistical estimation

Education

Bachelor's/Master's/Ph.D. in Electrical Engineering, Computer Engineering, Physics, Mathematics, or related field

Tools

Python

MATLAB

Job description

Kforce is seeking a junior to mid-level Radar Signal Processing Engineer in Orem, UT (Hybrid Remote). The role focuses on developing advanced radar and digital signal processing algorithms for next-generation sensing systems.

Responsibilities include designing and validating DSP algorithms for detection and interference mitigation, advancing radar techniques, and implementing solutions in C++ and CUDA for deployment on target hardware while leveraging real-world data for validation and