We are looking for a Solutions Architect to work with AI for Healthcare and Life Sciences in Taiwan, focused on academic society to adopt NVIDIA GPU platform on VLM, Digital Twin, AI, Accelerated Analytics, Simulation, Deep Learning or Machine learning technologies. NVIDIA's platform for HPC/MIG and Omniverse (OM), deep learning and high-performance computing have already made a major impact on industry. At NVIDIA, our Solution Architects are drawn from elite developers and scientists who enjoy working with the latest GPU hardware and software. We need a passionate, hard-working, and creative individual to help us pursue more of these opportunities in fields. Your primary focus is on AI for Sciences with researchers and developers at universities, research institute and labs.
What You'll Be Doing
- Design and implement endtoend AI pipelines for medical imaging, sensor fusion, and realtime inference using platforms such as MONAI,Holoscan,andClara.
- Collaborate with hospitals, academia, medtech, and healthIT partners to translate clinical workflows into deployable, regulatorycompliant AI systems.
- Build reusable reference architectures and toolkits for imaging, roboticsassisted surgery, and smarthospital applications.
- Optimize model performance and deployment on NVIDIA platforms includingDGX,IGX,and edge systems powered byHoloscan.
- Lead proofofconcept and production projects with healthcare customers, ensuring reliability, scalability, and datasecurity compliance.
- Partner with internal teams to scale validated AI architectures and best practices across the healthcare ecosystem.
What We Need To See
- Master's degree or Ph.D. in Computer Science, Biomedical Engineering, or related field.
- 6+years of experience in AI development, medical imaging, or edgecomputing applications.
- Proficient in Python and deep learning frameworks such as PyTorch, with hands-on experience using MONAI for medical imaging model training, inference, and optimization.
- Familiarity withDICOM,PACS/VNAsystems, and clinicaldata integration workflows.
- Strong proficiency inPythonand experience deploying AI on GPUaccelerated platforms.
- Excellent communication and technical leadership skills.
Ways To Stand Out From The Crowd
- Experience withMONAI,Holoscan,Clara, or related NVIDIA healthcare SDKs.
- Knowledge of medicaldevice development cycles or TFDA/FDAregulatory frameworks.
- Background in realtime or lowlatency vision and sensorprocessing pipelines.
- Proven track record delivering AI solutions in clinical or hospital environments.
JR2013070
