As a Solutions Architect within the Healthcare team, you will be leading the transformation of the industry. You will collaborate with MedTech customers to unlock AI and high-performance computing potential. Our team comprises of best-in-class scientists and developers who enjoy working with the latest in hardware and software. NVIDIA’s platform for machine learning, deep learning, and high-performance computing has greatly impacted healthcare. It is widely used by device manufacturers, academic medical centers, and start-ups.
This role requires becoming a trusted technical advisor and leader to our customers who are using accelerated computing and artificial intelligence transform the entire healthcare domain and patient care. You’ll craft groundbreaking proof-of-concept demonstrations and forge strategic relationships with key executives to champion the integration of AI, whether at the edge or in the cloud. By engaging with a diverse group of developers, researchers, data scientists, and IT leaders, you’ll not only contribute to meaningful projects but also help shape the narrative of AI in healthcare. If you’re ready to be part of a team that’s redefining an industry and improving lives, NVIDIA is your platform to shine!
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.
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.
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:
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.
Must enjoy interacting with forward-thinking people, life-long learning, and staying at the forefront of the domain.
Up to 15% travel may be required.
Ways to stand out from the crowd:
Experience in the video or multi-modal data processing within the healthcare domain.
Experience with medical device development lifecycle or SaMDs.
Extensive deep learning knowledge with practical experience with relevant frameworks and model architectures (e.g., CNNs, LLMs, VLMs, VLAs), training robotic policies, training from simulation / Digital Twins.
Proficiency in deploying AI models and optimizing inference using TensorRT, ONNX Runtime, Triton, or TensorRT-LLM is a plus.
Published record of thought leadership in a technical area or industry segment.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- MS, PhD, or equivalent experience in Biomedical Engineering, Electrical Engineering, Computer Science, Mathematics, or closely related field
- 3+ years experience in software development, machine learning, or high-performance computing
- Scientific computing experience with software development in C/C++, Python, and/or CUDA
- Expertise in streaming data processing
- Experience with modern deep learning software architecture and frameworks
- Excellent technical communication and presentation skills
- Experience in video or multi-modal data processing within the healthcare domain
- Experience with medical device development lifecycle or SaMDs
- Extensive deep learning knowledge and practical experience with relevant model architectures (e.g., CNNs, LLMs, VLMs)
- Proficiency in deploying and optimizing inference with TensorRT, ONNX Runtime, Triton, or TensorRT-LLM
- Published technical thought leadership (papers, blogs, whitepapers) or similar industry visibility
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
