What are the responsibilities and job description for the High Performance Computing (HPC) Engineer – CUDA, GPU, C++ position at Cube Hub Inc.?
GPU Software Engineer – C /CUDA/HPC (Medical Imaging)
Location: Waukesha, WI (onsite)
We are looking for 2 resources urgently for the long term, below skill set, please share profiles soon.
Job Description:
Seeking 2 resources with 5 years of experience in heterogenous High-Performance Computing and proven GPU performance improvement experience.
Leverage proprietary software platform to implement image processing algorithms on GPUs. (C /OpenCL/CUDA/OneAPI)
Improve image chain performance using heterogenous high-performance computing (HPC) to meet customer expectations
Ensure quality and compliance of productized code per regulatory expectations
Responsibilities:
Productized CT image processing algorithms on GPU, including ported algorithms from Matlab to GPU, or OpenCL to 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
