Join our team as a Solutions Architect in EMEA, where you will collaborate with customers to advance the field of Digital Health. At NVIDIA, we have a group of exceptional developers and scientists who thrive on working with the latest accelerated computing and artificial intelligence approaches. Our platform is revolutionizing healthcare by enabling advanced data processing and analysis and 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 engage with customers and partners to address hard digital health problems and develop trustful relationships with NVIDIA’s technology users. Working with various collaborators, such as developers, scientific researchers, data scientists, IT managers and senior leaders, is an essential part of the Solutions Architect role exposing you to a large range of partners and organizations.
This role offers an excellent opportunity to expand your career while empowering the world's most successful companies and institutes. The ideal candidate is passionate about AI in digital health, an expert in latest Large Language Models and enjoys working with cutting-edge 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.
- Partner with key customers to enable adoption of NVIDIA technology into their workflows, develop proof-of-concept demonstrations showcasing how NVIDIA’s technology accelerates digital health innovations and 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.
- Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles to simply working through hard problems with a customer on a whiteboard.
- You will collaborate with our business/account team to understand customer goals, strategies, and technical needs. Your role will involve delivering valuable solutions that meet these needs.
- We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers successful.
What we need to see:
- MS or PhD in Computer Science, Mathematics, Biomedical Computing, Biomedical Engineering, 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.
- Deep understanding and hands-on experience with modern Deep Learning software architecture and frameworks - in particular regarding natural language processing (NLP) and large language models (LLMs)
- Track record on applying LLMs, RAG and agentic systems to address problem statements related to Digital Health.
- Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.
- Excellent problem-solving skills as well as communication skills, especially in effectively presenting complex technical information. Must enjoy engaging with innovative individuals, continuous learning, and staying at the forefront of the field.
Ways to stand out from the crowd:
- Hands-on 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 and hands-on experience with automatic speech recognition (ASR), text-to-speech (TTS), and/or avatar systems, at an application level.
- Proficiency in Python or C/C++; experience with CUDA is a plus.
- Familiarity with clinical workflows and healthcare IT systems such as PACS (Picture Archiving and Communication Systems) or HL7/FHIR standards.
- Understanding of regulatory requirements (e.g., HIPAA) and data privacy concerns specific to healthcare data.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are passionate about NVIDIA technology and how it can unlock Digital Health, we want to hear from you!
