Senior Software Engineer Specialist

Job Title: Real-time Development Engineer 4 Job Code : 41937 Job Location: Tulsa, OK Schedule: 9/80 employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off Job Description: L3Harris is seeking a Developer, Software Engineering with experience in CUDA, C/C++, and Python to support the development of high-performance GPU-accelerated software for advanced mission applications. The selected candidate will work closely with software and algorithm teams to translate computational and image-processing algorithms into efficient CUDA C/C++ implementations for execution on NVIDIA GPU platforms. This role is ideal for an engineer who enjoys performance optimization, parallel programming, and the challenge of converting algorithmic concepts into production- ready software. The position includes design, implementation, integration, profiling, test, and optimization of GPU-based software in a Linux development environment. Our development efforts aim to achieve the best possible performance to meet demanding real-time requirements. Essential Functions: · Develop and maintain software in CUDA C/C++ for NVIDIA GPU-based systems. · Translate and optimize computational algorithms into efficient GPU implementations. · Support development of image processing and related high-performance software applications. · Analyze existing software and algorithms to identify opportunities for parallelization and acceleration. · Improve software performance through optimization of kernel execution, memory usage, and data movement. · Develop and execute unit, integration, and performance tests to validate functionality and accuracy. · Collaborate with cross-functional teams including software, systems, and algorithm engineers. · Participate in software design reviews, code reviews, and technical discussions. · Support software integration and debugging in Linux-based environments. · Document software design, implementation, test results, and performance findings. Qualifications: · Bachelor’s Degree and a minimum of 6 years of prior relevant software experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. · Minimum 6 years of experience with C/C++. · Minimum 2 years of experience with Python. · Minimum 4 years of experience with NVIDIA CUDA. · Experience developing software in Linux environments. · Experience implementing or optimizing algorithms for performance-sensitive applications. · Experience using source control and standard software development practices. · Must be eligible to obtain a U.S. security clearance. Preferred Additional Skills: · Experience with GPU profiling and performance analysis tools such as Nsight Systems, Nsight Compute, NVIDIA Visual Profiler, Compute Sanitizer. · Experience with image processing and/or computer vision applications. · Experience with TensorRT, cuFFT, cuBLAS, cuDNN, NPP, Thrust, and CUB. · Experience with Containerization with technologies such as Docker is a plus. · Experience using DevOps pipelines and tooling is a plus. · Experience translating prototype or research algorithms into pr oduction-quality implementations . · Familiarity with software testing, benchmarking, and debugging techniques in high-performance computing environments. · Experience developing for multiple CUDA Architectures and Compute Capabilities · Knowledge of GPU Direct/RDMA, NVIDIA containerization, machine parallelism #LI-LT2