Senior Solution Architect – Medical Devices

NVIDIA

Senior Solutions Architect at NVIDIA collaborating with medical device customers across EMEA. Focused on AI integration and deep learning in medical devices.

Posted 5/26/2026full-timeRemote • 🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

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Hard Skills & Tools

software developmentmachine learningdeep learninghigh-performance computingC/C++PythonCUDAimage processingvideo processingstreaming data processing

Soft Skills

time-managementorganizational skillscommunication skillspresentation skillsproblem-solvingcollaborationteachingadaptabilitycustomer engagementstrategic partnership

Certifications

MSPhD