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 production-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