Lead Real-Time GPU Software Engineer for RF Sensor Systems

Frontdoor Defense; Dayton (OH); Hybrid; USD 157,000 - 223,000; Full time

Job summary

Frontdoor Defense seeks a Lead GPU Software Engineer in Dayton, OH to design and optimize real-time GPU software for RF sensor systems. You will translate MATLAB/Python algorithms into high-performance C/C++ and implement CUDA-based pipelines across embedded and distributed platforms.

Ideal candidates have strong real-time, Linux, and multithreading skills, plus experience with signal processing and collaboration in multi-disciplinary teams.

Qualifications

• Experience in GPU programming and optimization (CUDA)
• Strong proficiency in high-performance C/C++ for real-time apps
• Experience with Linux and embedded systems
• Knowledge of real-time signal processing and multithreaded programming
• Familiarity with version control (Git) and collaborative development

Responsibilities

• Design and implement real-time software components for RF sensor signal processing
• Develop and optimize GPU-accelerated algorithms using CUDA
• Translate MATLAB/Python algorithms into efficient C/C++ code
• Architect software components to open architecture standards
• Integrate and optimize code for real-time performance on multi-core CPUs/GPUs
• Develop tests, benchmarks, and documentation
• Collaborate with algorithm developers and hardware engineers
• Support travel for integration events and customer meetings

Skills

CUDA

C/C++

Real-time systems

Multithreading

Linux

Signal processing

Git

Technical writing

Communication skills

Education

PhD or MS or BS in Computer Science/Engineering

Job description

Frontdoor Defense seeks a Lead GPU Software Engineer in Dayton, OH to design and optimize real-time GPU software for RF sensor systems. You will translate MATLAB/Python algorithms into high-performance C/C++ and implement CUDA-based pipelines across embedded and distributed platforms.

Ideal candidates have strong real-time, Linux, and multithreading skills, plus experience with signal processing and collaboration in multi-disciplinary teams.