Solutions Architect – MedTech

NVIDIA

Solutions Architect leading transformation in MedTech industry. Partnering with customers to unlock AI and high-performance computing potential for healthcare.

Posted 6/11/2026full-timeSanta Clara • California • 🇺🇸 United StatesMid-LevelSenior💰 $152,000 - $241,500 per yearWebsite

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.
Stay up to date on the state of the art in image/video analysis and sensor processing to apply the latest advancements in the field to customer needs.
Technical Problem Solving: Diagnose and resolve system issues and performance bottlenecks across the full AI stack, from initial model selection to large-scale deployment.
Multi-functional Collaboration: Work alongside NVIDIA’s internal engineering, research, and product teams to resolve critical partner challenges and speed up shared achievements.
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 industry-specific solution partners targeting our computing platform.
Some travel is required for this role.

Requirements

What you’ll need

MS, PhD or equivalent experience in Biomedical Engineering, Electrical Engineering, Computer Science, Mathematics or closely related fields.
3+ 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.
Experience with modern Deep Learning software architecture and frameworks.
Excellent communication skills particularly in the presentation of highly technical material.
Up to 15% travel may be required.

Benefits

Comp & perks

equity
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Hard Skills & Tools

C/C++PythonCUDAmachine learninghigh-performance computingscientific computingstreaming data processingDeep Learning software architecturesoftware developmenttechnical problem solving

Soft Skills

communication skillscollaborationtrainingdocumentationpresentation skillsproblem-solvingstrategic partnershipteachingmulti-functional collaborationcustomer engagement

Certifications

MSPhD