Solutions Architect - Healthcare

NVIDIA is seeking a Solutions Architect to collaborate with customers in the Digital Health sector across North America. As a leader in accelerated computing and artificial intelligence (AI), NVIDIA’s platform is revolutionizing healthcare by enabling advanced data processing and analysis. Our technology is widely adopted by medical device manufacturers, healthcare providers, academic medical centers, and health tech startups. This role focuses on enabling healthcare organizations to leverage NVIDIA’s GPU-accelerated computing platform for applications including medical imaging, telemedicine, remote patient monitoring, AI-enhanced diagnostics, and personalized medicine. You will act as a trusted technical advisor, helping organizations harness AI to improve patient outcomes and operational efficiency. By collaborating with key customers, you will design and implement high-performance AI solutions tailored to digital health challenges. The ideal candidate is passionate about AI in healthcare and enjoys working with innovative technology. If you are innovative and driven about the future of healthcare, we would like to hear from you!  

What you will be doing:  

• Collaborate with healthcare organizations and technology partners to understand their goals and technical needs related to digital health initiatives. 

• Architect scalable AI solutions for applications like medical imaging analysis (e.g., radiology, pathology), remote patient monitoring systems, EHR data analytics, and telemedicine platforms. 

• Keep up-to-date on AI advancements in healthcare, including deep learning models for diagnostics, predictive analytics for patient care, and real-time data processing from wearable devices or IoT sensors. 

• Develop proof-of-concept demonstrations showcasing how NVIDIA’s technology accelerates digital health innovations. 

• Engage with healthcare executives, IT managers, data scientists, clinicians, and developers to promote the adoption of AI-powered healthcare applications. 

• Share best practices through training sessions, whitepapers, or blog posts. 

• Partner with customers in the healthcare industry to co-develop solutions integrating NVIDIA technology into their AI workflows. 

• Some travel may be required for on-site customer engagements. 

What we need to see:  

• MS or PhD in Computer Science, Biomedical Engineering, Computational Biology, or related fields with strong applied experience in digital health technologies (or equivalent experience).

• 3+ years of work-related experience in software development of deep learning methods for scientific applications.

• Proven track record in software development related to AI/ML in healthcare or life sciences. 

• Demonstrated ability with deep learning frameworks (e.g., TensorFlow, PyTorch) applied to healthcare problems such as medical image analysis or predictive analytics. 

• Proficiency in Python or C/C++; experience with CUDA is a plus. 

• Experience deploying AI solutions in cloud environments (AWS, Azure, GCP). 

• Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences. 

Ways to stand out from the crowd: 

• Experience working on large-scale AI deployments involving medical imaging (e.g., radiology or pathology), EHR systems integration, or remote patient monitoring platforms. 

• Familiarity with AI deployment/inference technologies such as TensorRT, TRT-LLM. 

• Understanding of regulatory requirements (e.g., HIPAA) and data privacy concerns specific to healthcare data. 

• Familiarity with clinical workflows and healthcare IT systems such as PACS (Picture Archiving and Communication Systems) or HL7/FHIR standards. 

• Established thought leadership through publications or presentations on AI/ML applications in digital health with experience collaborating with healthcare providers or tech companies passionate about improving patient outcomes through innovative solutions.