Real-Time GPU Software Engineer (CUDA/C++) – 9/80 Schedule

Harris Geospatial Solutions; Tulsa (OK); On-site; USD 120,000 - 180,000; Full time

Job summary

L3Harris Technologies in Tulsa, OK is seeking a Real-time Development Engineer 4 to advance GPU-accelerated software for mission-critical applications. You will translate complex algorithms into CUDA C/C++ implementations for NVIDIA GPUs, in a Linux environment, and contribute to performance-focused development across multiple teams.

The role emphasizes optimization, parallel programming, and producing production-ready software while collaborating with software, systems, and algorithm engineers.

Qualifications

• Bachelors or higher with a minimum of 6 years of software experience; a Graduate Degree reduces needed experience to 4 years; alternatives exist for extensive experience.
• Minimum 6 years of experience with C/C++.
• Minimum 2 years of experience with Python; 4+ years with NVIDIA CUDA.

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 parallelization opportunities.
• Improve software performance through kernel, memory, and data movement optimizations.
• Develop and execute unit, integration, and performance tests to validate functionality.
• Collaborate with software, systems, and algorithm engineers across teams.
• Participate in software design reviews, code reviews, and technical discussions.
• Document software design, implementation, test results, and performance findings.

Skills

CUDA

C/C++

Python

Linux

Performance optimization

Education

Bachelor’s Degree (or higher) with required experience

Tools

Nsight Systems

Nsight Compute

Docker

Job description

L3Harris Technologies in Tulsa, OK is seeking a Real-time Development Engineer 4 to advance GPU-accelerated software for mission-critical applications. You will translate complex algorithms into CUDA C/C++ implementations for NVIDIA GPUs, in a Linux environment, and contribute to performance-focused development across multiple teams.

The role emphasizes optimization, parallel programming, and producing production-ready software while collaborating with software, systems, and algorithm engineers.