Overview
On Site
$DOE
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12+ Month(s)
Skills
High Performance Computing
Proprietary Software
OpenCL
Exceed
Reliability Analysis
Benchmarking
GDP
C++
Performance Tuning
Image Processing
Algorithms
Optimization
MATLAB
CUDA
Medical Imaging
Computer Science
Electrical Engineering
HPC
Performance Engineering
GPU
Regulatory Compliance
WebKit
SANS
Documentation
Testing
Reporting
Job Details
Job Title: GPU Software Engineer C++ (Medical)
Location: Waukesha, WI (Onsite/In-person)
Experience Required: 5+ years
Job Description:
We are urgently seeking two experienced HPC Engineers with a strong background in heterogeneous High-Performance Computing and proven expertise in GPU performance optimization. The ideal candidates will work on implementing image processing algorithms on GPUs using a proprietary software platform.
Key Responsibilities:
- Productize CT image processing algorithms on GPU.
- Port algorithms from Matlab or OpenCL to CUDA (or OneAPI).
- Optimize and improve performance of imaging algorithms to exceed initial benchmarks.
- Perform GPU profiling to identify and resolve algorithm bottlenecks.
- Improve GPU utilization using knowledge of heterogeneous HPC systems.
- Conduct reliability analysis, performance benchmarking, and documentation of results.
- Ensure productized code meets quality and compliance standards aligned with regulatory expectations.
- Execute test procedures with high accuracy and Good Documentation Practices (GDP).
Note: Manager is looking for strong experience in GPU and C++
- GPU Tools: GPU profiling and performance tuning
- Other Skills: Image processing, algorithm optimization, HPC system utilization
- Experience with Matlab to GPU/CUDA porting is a strong plus.
- Prior exposure to regulated environments or medical imaging is an advantage.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- 5+ years of industry experience in HPC and GPU-based performance engineering.
- Proven track record in optimizing GPU-intensive applications.
Compliance:
- Adherence to coding standards, documentation, and regulatory requirements is mandatory.
- Candidates must follow Good Documentation Practices during testing and reporting phases.
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