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

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