Senior Software Engineer Specialist

L3Harris•Tulsa, OK

5d•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.