Real-Time RF Software Lead: CUDA/GPU Expert

STR; Atlanta (GA); On-site; USD 157,000 - 223,000; Full time

Job summary

STR’s Sensors Division seeks a Lead Software Engineer to design and implement real-time software for RF sensor systems, focusing on GPU-accelerated signal processing and open architecture compliance. You will translate research prototypes into production-grade software for embedded and distributed platforms, architect components, and optimize performance under latency constraints.

Qualified candidates will have strong C/C++ skills, experience with CUDA, Linux, and real-time processing, plus

Qualifications

• PhD/MS/BS with specified years in CS/CE/EE
• Experience with GPU programming and CUDA
• Strong C/C++ proficiency for real-time software
• Experience on Linux and embedded systems
• Experience in real-time signal processing
• Familiarity with open architecture standards
• Strong technical writing and communication skills

Responsibilities

• Design and implement real-time software components for RF sensor processing
• Develop and optimize GPU-accelerated algorithms with CUDA
• Translate MATLAB/Python specs into optimized C/C++
• Architect components compliant with open architecture standards
• Optimize code for multi-core CPUs/GPUs with strict latency
• Create unit/integration/benchmarks and promote testing
• Document designs, APIs and implementation details
• Assist in briefings and customer presentations
• Collaborate with algorithm developers, systems and RF hardware engineers
• Support proposal development with technical input
• Perform peer reviews and recommend next steps
• Travel ~20% for integration events and demonstrations

Skills

GPU programming

CUDA

C/C++

Real-time systems

Multithreading

Linux

Embedded systems

Signal processing

Open architecture

Technical writing

Education

PhD + 2 years / MS + 5 years / BS + 7 years (CS/CE/EE)

Tools

MATLAB

Python

Git

CUDA toolkit

Job description

STR’s Sensors Division seeks a Lead Software Engineer to design and implement real-time software for RF sensor systems, focusing on GPU-accelerated signal processing and open architecture compliance. You will translate research prototypes into production-grade software for embedded and distributed platforms, architect components, and optimize performance under latency constraints.

Qualified candidates will have strong C/C++ skills, experience with CUDA, Linux, and real-time processing, plus