Senior Solution Architect - Medical Devices

Overview

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.

• Partner with our business/account team and customers to develop a keen understanding of their goals, strategies, and technical needs, and help define and deliver high‑value solutions.
• 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, and apply the latest advancements to customer needs.
• Support customers to optimize workloads using NVIDIA’s computing platform.
• Document knowledge and teach others—including building targeted training for partners, writing whitepapers, blogs, wiki articles, and working through hard problems with a customer on a whiteboard.
• Partner strategically with lighthouse customers and industry‑specific solution partners targeting our computing platform.
• Travel as required.

• 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, especially for 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 complex projects.
• Excellent communication skills, especially in presenting highly technical material.
• Enjoy interacting with forward‑thinking people, lifelong learning, and staying at the forefront of the domain.
• Domain expertise and proven hands‑on experience applying accelerated computing and AI in one or more medical device areas (e.g., 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 Tensor
  
  RT, ONNX Runtime, Triton, or Tensor
  
  RT‑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.

We are committed to fostering a diverse work environment and are proud to be an equal opportunity employer. We do not discriminate 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.