MILWAUKEE, WI (ONSITE)

Job Description & Skill Requirement:
Key Responsibilities: * Design and implement efficient parallel algorithms leveraging CUDA to accelerate processing of large datasets in healthcare applications such as medical imaging, genomics, and predictive analytics. * Work with healthcare data (such as medical images, patient records, and clinical data) to optimize data throughput and reduce processing times, ensuring faster and more accurate results. * Collaborate with data scientists, machine learning engineers, and healthcare professionals to translate complex problems into optimized solutions for high-performance computing environments. * Develop and maintain software frameworks and libraries for GPU-accelerated applications in healthcare. * Conduct performance tuning, profiling, and optimization to maximize the efficiency of CUDA-based applications. * Perform unit and integration testing, troubleshooting, and debugging for GPU-accelerated healthcare solutions. * Stay up-to-date with the latest advancements in GPU computing and CUDA technologies, and identify new opportunities for optimization and innovation. * Document technical specifications, processes, and code to ensure knowledge sharing and maintainability of the codebase. * Ensure that healthcare applications meet regulatory standards for data security, privacy (HIPAA compliance), and patient confidentiality.
Qualifications: * Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred. * 3+ years of experience in CUDA programming and GPU optimization, with a focus on high-performance computing. * Strong proficiency in C/C++ and hands-on experience with CUDA programming and profiling tools (e.g., Nsight, Visual Profiler). * Experience with medical imaging libraries (e.g., ITK, VTK, OpenCV) and healthcare-related data processing is a plus. * Solid understanding of parallel computing concepts and performance optimization techniques. * Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or similar, particularly for healthcare applications. * Experience with healthcare data formats (e.g., DICOM, HL7) is a plus. * Strong problem-solving skills, attention to detail, and ability to work in a fast-paced and collaborative environment. * Knowledge of cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus. * Knowledge of healthcare industry standards, including HIPAA regulations, is preferred.Soft Skills: * Excellent communication and teamwork skills to collaborate with multidisciplinary teams. * Strong analytical and critical thinking capabilities. * Adaptability and a willingness to learn new technologies and tools in the healthcare domain.
Job Type: Contract
Work Location: In perso

Please refer the Job description for details