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

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

1. Productized CT image processing algorithms on GPU, including ported algorithms from Matlab to GPU, or OpenCL to 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

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

Productizing Algorithms: Experience in productizing CT image processing algorithms on GPU
Porting Algorithms: Experience in porting algorithms from Matlab to GPU or OpenCL to 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

Prasad Kalsekar | Hudson Manpower
Email: prasad@hudsonmanpower.com