Job Description
Role: SW Developer (CUDA)
Location: 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.
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.
