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

Job in Waukesha, Waukesha County, Wisconsin, 53188, USA

Listing for: hudsonmanpower

Full Time position
Listed on 2026-08-22

Job specializations:

Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Engineer, AI Reliability/ Performance Engineer

Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR

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

Leverage proprietary software platform to implement image processing algorithms on GPUs (C++/OpenCL/CUDA/OneAPI).

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

Ensure quality and compliance of productized code per regulatory expectations.

Detailed Requirements

Productized CT image processing algorithms on GPU, including ported algorithms from Matlab to GPU, orOpenCLto CUDA.

Improved image chain & algorithm performance compared to initial benchmarks.

Perform GPU profiling, identify algorithm bottlenecks, troubleshoot and resolve performance issues.

Improve GPU utilization leveraging heterogenous HPC knowledge.

Perform testing, reliability analysis, performance benchmarks and document results.

Execute test procedures with high quality and rigor, following Good Documentation Practices.

Work Experience Skills

Programming

Languages:

C++, OpenCL, CUDA, OneAPI.

Image Processing Algorithms:
Implementation and optimization on GPUs.

High-Performance Computing (HPC):
Knowledge of heterogeneous HPC.

Profiling and Performance Analysis: GPU profiling, identifying bottlenecks, troubleshooting, and resolving performance issues.

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.

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