GPU HPC Engineer

The CT Program is focused on advancing and enhancing next-generation CT scanner technologies, which are used globally. The team is currently working to improve key workflows and applications associated with these systems. To support this effort, we are seeking skilled professionals with relevant experience.

Project Objectives:

1. Utilize GE's proprietary software platform to implement image processing algorithms on GPUs (using C , OpenCL, CUDA, or OneAPI).

1. Optimize image chain performance using heterogeneous high-performance computing (HPC) techniques to meet customer expectations.

1. Ensure product code meets quality standards and complies with applicable regulatory requirements.

Key Responsibilities:

• Develop and optimize CT image processing algorithms for GPUs.

• Transition algorithms from platforms such as MATLAB or OpenCL to CUDA.

• Analyze and enhance image chain and algorithm performance relative to initial benchmarks.

• Perform GPU profiling, identify performance bottlenecks, and implement optimizations.

• Apply knowledge of heterogeneous HPC to maximize GPU utilization.

• Conduct testing, reliability analysis, and performance benchmarking.

• Document results clearly and thoroughly, adhering to established documentation and quality standards.

• Execute test procedures with precision, following Good Documentation Practices.

Qualifications:

• Minimum of 5 years of hands-on experience in high-performance computing, with a focus on heterogeneous systems.

• Demonstrated experience improving GPU performance and efficiency in real-world applications.

• Strong problem-solving skills, with the ability to troubleshoot and optimize complex systems.

• Excellent communication and documentation abilities.