SW Developer (CUDA)

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

Pay: $54.00 - $55.00 per hour

Benefits:

• Flexible schedule
• Health insurance
• Life insurance
• Paid time off

Schedule:

• 8 hour shift

Ability to Commute:

• South Milwaukee, WI 53172 (Preferred)

Ability to Relocate:

• South Milwaukee, WI 53172: Relocate before starting work (Preferred)

Work Location: In person

Salary : $54 - $55