At NVIDIA, we’re not just building technology; we’re shaping the future of healthcare. As a Senior Solutions Architect for Medical Devices, you’ll be at the forefront of this transformation, collaborating with medical device customers, developers, scientist, academic and industry thought leaders across EMEA to unlock the full potential of AI and accelerated computing. NVIDIA’s Solution Architects are elite developers and scientists who enjoy working with the latest in GPU hardware and software. NVIDIA’s platform for machine learning, deep learning and high-performance computing have already made a major impact on the healthcare domain and are broadly used across leading device manufacturers, academic medical centres, pharmaceutical companies and start-ups.

This role requires becoming a trusted technical advisor and leader to our customers who believe that accelerated computing and artificial intelligence is a new computing revolution and has the potential to transform the entire healthcare domain. You’ll craft groundbreaking proof-of-concept demonstrations and forge strategic relationships with key executives to champion the integration of accelerated computing, whether at the edge or in the cloud. By engaging with a diverse group of developers, researchers, data scientists, and IT leaders, you will not only contribute to meaningful projects but also help shape the narrative of AI in healthcare. If you are ready to be part of a team that’s redefining an industry and improving lives, we would like to hear from you.

What you will be doing:

• Partner with our business/account team working with customers to develop a keen understanding of their goals, strategies, and technical needs and to help define and deliver high-value solutions meeting these needs.

• Work to design NVIDIA's HW/SW into next generation software defined medical devices.

• Stay up to date on the state of the art in image analysis, sensor processing, robotics & surgical data science to apply the latest advancements in the field to customer needs.

• Support customers to optimize workloads using NVIDIA’s computing platform.

• 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.

• Partner strategically with lighthouse customers and industry-specific solution partners targeting our computing platform.

• 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:

• Strong foundational expertise: MS, PhD or equivalent experience in Biomedical Engineering, Electrical Engineering, Computer Science, Mathematics or closely related fields.

• 5+ years of work-related experience in software development, machine learning or high-performance computing.

• Scientific computing experience including software development in scientific programming languages like C/C++, Python, and/or CUDA.

• Expertise in streaming data processing, performance analysis and optimization.

• Understanding of how to apply AI to answer scientific questions.

• Experience with modern Deep Learning software architecture and frameworks.

• Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.

• Excellent communication skills particularly in the presentation of highly technical material.

• Must enjoy interacting with forward-thinking people, life-long learning, and staying at the forefront of the domain.

Ways to stand out from the crowd:

• Domain expertise and proven experience in one of the following areas: medical imaging, digital surgery, surgical data science, medical robotics.

• Experience with medical device development life cycle or developing SW in regulated environments.

• Proven experience implementing and optimizing workloads with CUDA.

• Proven experience deploying AI models and optimizing inference with at least one of the following technologies: TensorRT, ONNX Runtime, Triton, TensorRT-LLM

• Significant deep learning experience with healthcare data with a published record of thought leadership in a technical area or industry segment.

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're creative and autonomous, we want to hear from you! 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. If you are passionate about NVIDIA technology and how it can unlock Healthcare or Life Sciences, we should talk!