Software Engineer - Software Engineer - GPU, C++, OpenCL, CUDA

hudsonmanpower; Waukesha (WI); On-site; USD 90,000 - 120,000; Full time

Job summary

hudsonmanpower is hiring a Software Engineer in Waukesha, WI to develop and optimize image processing algorithms for CT scanners. Candidates should have 5-9 years of experience in C++, OpenCL, CUDA, and OneAPI.

The position involves improving image chain performance and ensuring compliance with regulatory standards. Strong skills in high-performance computing and GPU profiling are essential.

Qualifications

• 5-9 years of experience in software engineering with a focus on GPU programming.
• Proven skills in developing image processing algorithms.
• Experience with high-performance computing (HPC).

Responsibilities

• Implement image processing algorithms on GPUs using C++/OpenCL/CUDA/OneAPI.
• Improve image chain performance using high-performance computing.
• Ensure quality and compliance of productized code.

Skills

GPU

C++

OpenCL

CUDA

OneAPI

Matlab

Job description

Position: Software Engineer - GPU, C++, OpenCL, CUDA

Location: Waukesha, WI (Onsite)

Exp: 5 – 9 yrs

Key Skills: GPU, C++, OpenCL, CUDA, OneAPI, Matlab

Job Requirements

The CT Program is working on upgrading CT scanners used worldwide. The center is currently concentrating on the ongoing enhancement of the next generation of CT machines, including their essential workflows and applications. For that purpose, proficient and experienced resources are required.

Primary Objective

1. Leverage proprietary software platform to implement image processing algorithms on GPUs (C++/OpenCL/CUDA/OneAPI).
2. Improve image chain performance using heterogeneous high-performance computing (HPC) to meet customer expectations.
3. Ensure quality and compliance of productized code per regulatory expectations.

Detailed Requirements

1. Productized CT image processing algorithms on GPU, including ported algorithms from Matlab to GPU, orOpenCLto CUDA.
2. Improved image chain & algorithm performance compared to initial benchmarks.
3. Perform GPU profiling, identify algorithm bottlenecks, troubleshoot and resolve performance issues.
4. Improve GPU utilization leveraging heterogenous HPC knowledge.
5. Perform testing, reliability analysis, performance benchmarks and document results.
6. Execute test procedures with high quality and rigor, following Good Documentation Practices.

Work Experience

Skills

1. Programming Languages: C++, OpenCL, CUDA, OneAPI.
2. Image Processing Algorithms: Implementation and optimization on GPUs.
3. High-Performance Computing (HPC): Knowledge of heterogeneous HPC.
4. Profiling and Performance Analysis: GPU profiling, identifying bottlenecks, troubleshooting, and resolving performance issues.
5. Testing and Documentation: Performing testing, reliability analysis, performance benchmarks, and documenting results following Good Documentation Practices.

Additional Experience

• Productizing Algorithms: Experience in productizing CT image processing algorithms on GPU.
• Porting Algorithms: Experience in porting algorithms from Matlab to GPU orOpenCLto CUDA.
• Improving Performance: Proven track record of improving image chain and algorithm performance compared to initial benchmarks.
• Quality and Compliance: Ensuring quality and compliance of productized code per regulatory expectations.