Principal Software Signal Processing Engineer

Northrop Grumman•Colorado Springs, CO

1d•$103,600 - $155,400•Onsite

About The Position

Northrop Grumman Space Systems is seeking a Principal Software Signal Processing Engineer to join our team supporting our DARC program. This position would be based in Colorado Springs, Colorado. This role will work with us on the Deep Space Advanced Capabilities contract developing new radar digital signal processing software in support of identification and tracking of objects in geosynchronous orbit.

Requirements

5 years with a Bachelors in Science, 3 years with a Masters in Science degree, and 1 years with the PHD
Active DoD Secret clearance at the time of application
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

Nice To Haves

Relocation assistance may be available
Travel: Yes, 10% of the Time

Responsibilities

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.