Real-Time GPU Signal Processing Engineer

Leidos; Arlington (VA); On-site; USD 108,000 - 195,000; Full time

Benefits offered by this job

Competitive benefits

PTO + Holidays

401K matching

Job summary

Leidos in Arlington, VA is seeking a Software Engineer to design, develop, and integrate real-time signal processing software for electronic warfare. You will implement GPU-accelerated algorithms, craft bespoke CUDA kernels, and work across Linux and RTOS environments with multi-threaded architectures.

The role requires 8+ years in C/C++ software development, experience with NVIDIA toolchains, and a Secret clearance with ability to obtain TS/SCI. Travel up to 10% is possible as projects demand.

Qualifications

• Bachelor’s degree in a relevant engineering/computer science field.
• 8+ years of software development, with strong C/C++.
• Experience with real-time systems and government open architectures.
• Experience with NVIDIA profiling tools and libraries.
• Proficient in version control and CI tools.
• Active Secret clearance with ability to obtain TS/SCI.

Responsibilities

• Design and develop advanced systems within multi-disciplinary teams.
• Develop real-time signal processing algorithms on GPUs.
• Create multi-threaded software for Linux and RTOS environments.
• Develop and test high-speed data transfer and latency code.
• Interface with TCP/IP, UDP, and DDS networks.
• Document systems and support field testing; travel up to 10%.

Skills

C/C++ development

GPU programming

Real-time systems

Linux

CUDA kernels

Education

Bachelor’s Degree in Computer Engineering, Electrical Engineering, or Computer Science

Master’s Degree in Computer Engineering, Electrical Engineering, Computer Science (bonus)

Tools

NVIDIA tools & libraries (cuBLAS/cuFFT/cuSOLVER/cuRAND, Compute Sanitizer, NCU)

Version control: Subversion, Git

CI tools: Jenkins

Job description

Leidos in Arlington, VA is seeking a Software Engineer to design, develop, and integrate real-time signal processing software for electronic warfare. You will implement GPU-accelerated algorithms, craft bespoke CUDA kernels, and work across Linux and RTOS environments with multi-threaded architectures.

The role requires 8+ years in C/C++ software development, experience with NVIDIA toolchains, and a Secret clearance with ability to obtain TS/SCI. Travel up to 10% is possible as projects demand.