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Principal / Sr Principal Software Signal Processing Engineer with Security Clearance

TEKsystems c/o Allegis GroupColorado Springs, CO🇺🇸United StatesPosted 11 Sept 2026

Why This Role Stands Out

This Principal/Sr. Principal Software Signal Processing Engineer role offers exciting challenges in developing cutting-edge applications and systems, with opportunities for significant career growth and skill enhancement in areas like GPGPU acceleration and AI-enabled tooling. You'll thrive here if you possess a strong background in radar signal processing, C++, Python, and CUDA, and are eager to contribute to a renowned company while enjoying hybrid work flexibility. Apply now to leverage your expertise and make a real impact!

Quick Overview

Seniority
Leader
Employment type
Temporary/Casual
Work mode
Hybrid
Location
Colorado Springs, CO, United States
Posted
5 days ago
MATLABCUDAC++JavaPython

Job Description

Job responsibilities will include, but not be limited to, the following: Designs, develops, documents, tests, and debugs applications software, and systems that contain logical and mathematical solutions. Conducts multidisciplinary research and collaborates with equipment designers and/or hardware engineers in the planning, design, development, and utilization of electronic data processing systems for product and commercial software.

Determines computer user needs; analyzes system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques, and controls; prepares operating instructions; designs and develops compilers and assemblers, utility programs, and operating systems. Demonstrated experience developing and optimizing radar signal processing algorithms and pipelines (DSP), including use of common engineering toolchains such as DSP System Toolbox / Signal Processing Toolbox / Phased Array System toolsets.

Demonstrated experience with GPGPU acceleration (e.g., CUDA) for performance-critical signal processing and/or analytics workloads. Experience using AI-enabled engineering tooling (e.g., an AI coding assistant) to accelerate development tasks such as code explanation, refactoring, and test generation—while maintaining engineer accountability for reviewed code. This position can be staffed at the Principal or Sr Principal level based on the basic qualifications below.

Basic Qualifications: Principal Level: 5 years with a Bachelors in Science, 3 years with a Masters in Science degree, and 1 years with the PHD. 4 additional years required in lieu of a degree.

Sr Principal: 8 years with a Bachelors in Science, 6 years with a Masters in Science degree, and 3 years with the PHD. 4 additional years required in lieu of a degree. Must have an active U.S. Government Secret security clearance at time of application, current and within scope. Experience with C++, Java, Python and CUDA Experience with Linux Experience with RF Signal Processing Experience with GPU optimization Experience with NVIDIA MatX library Experience with AI Tooling Experience with high side development and processes

Preferred Qualifications: Radar knowledge: Can detail how to process a radar signal to generate a Range Doppler Map, can detail the process of using a sparse array to accomplish beamforming, can detail the concept of loss budgets and system tradeoffs, and has the understanding of application of calibration for a distributed system C++ Knowledge: Knowledge of how to do real time processing and knowledge of current C++ standards and knowledge of latest modern C++ techniques is preferred CUDA Knowledge: Need to understand the benefits and constraints of running signal processing code on GPGPUs and be familiar with cuFFT and/or cuSignal; Matx is preferred, but not expected Functional familiarity with Matlab and python Self starter: Able to take minimal direction and go off on their own, learn the system without much instruction, and approach every story with the next in mind, looking for defects and optimizations along the way Experience with writing Signal Processing Algorithms and experience implementing signal processing algorithms is insufficient

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