Description

Northrop Grumman Space Systems is seeking a Staff Software Signal Processing Engineer to join our team supporting a radar program in Colorado Springs, Colorado. In this staff-level role, you will provide technical leadership for the development of advanced radar digital signal processing software in support of identification and tracking of objects in geosynchronous orbit. You will act as a senior technical authority for radar DSP software-guiding architecture, design decisions, and implementation approaches across the team-while remaining hands-on with code and technical problem solving.

Job responsibilities will include, but are not limited to, the following:

• Serve as a technical leader and subject-matter expert for radar digital signal processing software, providing guidance on system architecture, algorithm selection, implementation strategies, and performance optimization.

• Design, develop, document, test, and debug complex applications software and software systems that contain logical and mathematical solutions, with particular emphasis on high‑performance radar DSP pipelines.

• Lead multidisciplinary research and collaborate closely with systems, hardware, and equipment designers to plan, design, develop, and utilize electronic data processing systems for mission and product software.

• Work with stakeholders to determine computer user and mission needs; analyze system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques, and controls; prepare operating instructions and technical documentation.

• Guide the design and development of compilers, utility programs, and/or supporting infrastructure where needed to enable scalable signal processing workflows.

• Provide mentorship and technical direction to other engineers, including code reviews, design reviews, and coaching on best practices for performance, reliability, and maintainability.

• 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, including profiling, optimization, and balancing CPU/GPU resources.

• 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 clear engineer accountability for reviewed code and technical decisions.

Basic Qualifications:

• Must have an active U.S. Government Secret security clearance at time of application, current and within scope.

• Demonstrated proficiency with C++, Java, Python, and CUDA, including application to performance‑critical workloads.

• Experience with Linux development environments.

• Experience with RF signal processing and radar DSP concepts.

• Experience with GPU optimization for real‑time or near‑real‑time processing.

• Experience with NVIDIA MatX or similar high‑performance numerical libraries.

• Experience leveraging AI tooling for software development workflows.

• Experience with high-side development and processes, including secure environments and appropriate handling of classified data.

Preferred Qualifications:

• Able to explain how to process a radar signal to generate a Range-Doppler Map.

• Describe the process of using a sparse array to accomplish beamforming.

• Discuss the concept of loss budgets and system tradeoffs.

• Explain the application of calibration for a distributed system.

• C++ expertise: Strong knowledge of real‑time processing, current C++ standards, and modern C++ techniques and patterns for high‑performance, maintainable code.

• CUDA expertise: Deep understanding of the benefits and constraints of running signal processing code on GPGPUs; familiarity with cuFFT and/or cuSignal; experience with MatX preferred but not required.

• Functional familiarity with Matlab and Python for signal processing, prototyping, and data analysis.

• Self‑starter and technical leader: Able to take minimal direction, quickly learn complex systems, and independently drive solutions. Approaches every story with the broader system in mind-identifying defects, optimizations, and architectural implications along the way. Comfortable influencing designs across teams and defending technical decisions to stakeholders.

• Experience writing and implementing signal processing algorithms is expected; at the staff level, candidates should additionally demonstrate the ability to own system‑level DSP architectures, make trade studies, and lead others in implementing robust, scalable solutions.