Junior GPU Real-Time Software Engineer

Socket.dev; Bowie (MD); On-site; USD 70,000 - 126,000; Full time

Job summary

Leidos in Bowie, Maryland is seeking a Junior Software Engineer to join our team and help deliver real-time signal processing solutions on GPUs. You will design, implement, and optimize software for multi-core Linux systems, applying CUDA kernels and NVIDIA profiling tools to achieve high performance.

The role requires strong C/C++ development experience, familiarity with MATLAB for signal processing, and collaboration across engineering disciplines.

Qualifications

• Bachelor's degree required in Computer/Electrical Engineering or CS.
• 3+ years of software development experience, including strong C/C++.
• Experience with NVIDIA development and profiling tools.
• Experience with version control (Subversion, GIT) and CI tools.
• Must be able to obtain DoD Secret clearance (US citizenship).

Responsibilities

• Design and implement real-time C/C++ software for multi-core Linux systems.
• Develop and optimize real-time signal processing algorithms on GPUs.
• Craft CUDA kernels for high performance and parallelization.
• Work with Linux RTOS and TCP/IP/UDP/DDS interfaces as needed.
• Collaborate with multi-disciplinary teams across hardware, ML, and RF domains.

Skills

C/C++ development

GPU programming

Linux development

Software architecture

Real-time systems

Education

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

Master’s Degree (bonus)

Tools

CUDA

NVIDIA profiling tools

Git

Subversion

CI tools

MATLAB

MATLAB GPU coder tool

Job description

Leidos in Bowie, Maryland is seeking a Junior Software Engineer to join our team and help deliver real-time signal processing solutions on GPUs. You will design, implement, and optimize software for multi-core Linux systems, applying CUDA kernels and NVIDIA profiling tools to achieve high performance.

The role requires strong C/C++ development experience, familiarity with MATLAB for signal processing, and collaboration across engineering disciplines.