Senior Solution Architect – Medical Devices

At NVIDIA, we are advancing healthcare through innovation. As a Senior Solutions Architect for Medical Devices, you will collaborate with medical device customers, developers, scientists, and academic and industry leaders across EMEA to harness AI and accelerated computing. NVIDIA’s Solution Architects are developers and scientists who apply the latest AI and accelerated computing technologies. Our machine learning, deep learning, and high-performance computing platforms are widely adopted across healthcare, including by medical device manufacturers, academic medical centers, pharmaceutical companies, and startups. In this role, you will serve as a trusted technical advisor, helping customers integrate AI and accelerated computing at the edge and in the cloud. You will develop proof-of-concept demonstrations, build strategic executive relationships, and work with developers, researchers, data scientists, and IT leaders on impactful healthcare projects. The ideal candidate is passionate about AI and accelerated computing in medical devices, has several years of medical device industry experience across research, technical project leadership, and product development, and enjoys cutting-edge technology and continuous learning. 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, AI-enabled clinical applications, and advanced healthcare product platforms. Stay up to date on the state of the art in medical image analysis, sensor processing, clinical AI, digital health, and 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 Computer Science, Mathematics, Biomedical Engineering, Electrical Engineering, or closely related fields. 5+ years of work-related experience in software development, machine learning, deep learning or high-performance computing. In-depth knowledge and practical experience with contemporary Deep Learning software architecture and frameworks, in particular regarding image and video processing of medical and surgical modalities. Experience in scientific computing and software development with C/C++, Python, or CUDA. Skilled in streaming data processing, performance analysis, and optimization from algorithms to pipelines. 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 hands-on experience applying accelerated computing and AI in one or more medical device areas, such as medical imaging, digital surgery, surgical data science, image-guided intervention, patient monitoring, or clinical workflow applications. Familiarity with clinical workflows, interventional and/or surgical procedures is a plus. Several years of industry experience in the medical device development life cycle, including research, technical project leadership, product development, or developing software in regulated environments. Understanding of regulatory requirements (e.g., HIPAA) and data privacy concerns specific to healthcare data. Extensive deep learning knowledge with practical experience in frameworks and model architectures (e.g., CNNs, LLMs, VLMs), medical image and video analysis, segmentation, detection, multimodal clinical AI, and training from simulation or Digital Twins. Proficiency in deploying AI models and optimizing inference using TensorRT, ONNX Runtime, Triton, or TensorRT-LLM is a plus. Proven experience implementing and optimizing workloads with CUDA and Nsight Tools. Experience with high performance networking technologies, e.g. DPDK, DOCA, RMDA, RoCEv2 is a plus. Published record of thought leadership in a technical area or industry segment. NVIDIA is widely considered to be one of the technology world’s...