Real-Time GPU Signal Processing Engineer

Leidos; Virginia (MN); On-site; USD 108,000 - 195,000; Full time

Job summary

Leidos is seeking a Software Engineer in Arlington, VA to design, develop, and integrate real-time signal processing software for an Electronic Warfare division. The role emphasizes GPU-based DSP algorithms, CUDA kernel development, and multi-core Linux/RTOS environments.

Requirements include a Bachelor’s in Engineering or CS and 8+ years in C/C++ software development, with NVIDIA tool experience and active Secret clearance (TS/SCI possible). Travel up to 10% is expected.

Qualifications

• Bachelor’s Degree in Computer Engineering, Electrical Engineering, or Computer Science
• 8+ years of software development experience with C/C++
• Experience with real-time systems and open architectures (Big Iron or Cobra)
• Experience with NVIDIA tools and libraries (Compute Sanitizer, NCU, cuBLAS, cuFFT, cuSOLVER, cuRAND)
• Experience using version control (Git, Subversion) and CI tools (Jenkins)
• Active Secret clearance with ability to obtain TS/SCI

Responsibilities

• Design and implement real-time signal processing algorithms on GPUs
• Contribute to multi-disciplinary system design and development
• Achieve project objectives across multiple technical areas
• Develop bespoke CUDA kernels for high performance
• Design and test real-time C/C++ software for multi-core Linux/RTOS
• Document developed systems and support field testing
• Travel up to 10% as required

Skills

GPU programming

Real-time signal processing

Parallel computing

C/C++ software development

Linux development

Education

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

Master’s Degree (Bonus)

Tools

CUDA

NVIDIA profiling tools

cuBLAS/cuFFT/cuSOLVER/cuRAND

Git/Subversion

Jenkins

Compute Sanitizer/NCU

Job description

Leidos is seeking a Software Engineer in Arlington, VA to design, develop, and integrate real-time signal processing software for an Electronic Warfare division. The role emphasizes GPU-based DSP algorithms, CUDA kernel development, and multi-core Linux/RTOS environments.

Requirements include a Bachelor’s in Engineering or CS and 8+ years in C/C++ software development, with NVIDIA tool experience and active Secret clearance (TS/SCI possible). Travel up to 10% is expected.