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Company

NVIDIA · 4 hours ago

Solutions Architect - Healthcare

California, United States

Full-time

Remote

Mid Level

$148K/yr - $276K/yr

3+ years exp

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Artificial Intelligence (AI)GPU

Growth Opportunities

H1B Sponsor Likely

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Responsibilities

Collaborate with healthcare organizations and technology partners to understand their goals and technical needs related to digital health initiatives.

Architect scalable AI solutions for applications like medical imaging analysis (e.g., radiology, pathology), remote patient monitoring systems, EHR data analytics, and telemedicine platforms.

Keep up-to-date on AI advancements in healthcare, including deep learning models for diagnostics, predictive analytics for patient care, and real-time data processing from wearable devices or IoT sensors.

Develop proof-of-concept demonstrations showcasing how NVIDIA’s technology accelerates digital health innovations.

Engage with healthcare executives, IT managers, data scientists, clinicians, and developers to promote the adoption of AI-powered healthcare applications.

Share best practices through training sessions, whitepapers, or blog posts.

Partner with customers in the healthcare industry to co-develop solutions integrating NVIDIA technology into their AI workflows.

Some travel may be required for on-site customer engagements.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI in healthcareDeep learning frameworksSoftware developmentPythonCloud environmentsMedical imagingCUDAEHR systems integrationRegulatory requirementsClinical workflowsTensorRTPACsHL7/FHIR standards

Required

MS or PhD in Computer Science, Biomedical Engineering, Computational Biology, or related fields with strong applied experience in digital health technologies (or equivalent experience).

3 + years of work-related experience in software development of deep learning methods for scientific applications.

Proven track record in software development related to AI/ML in healthcare or life sciences.

Demonstrated ability with deep learning frameworks (e.g., TensorFlow, PyTorch) applied to healthcare problems such as medical image analysis or predictive analytics.

Proficiency in Python or C/C++; experience with CUDA is a plus.

Experience deploying AI solutions in cloud environments (AWS, Azure, GCP).

Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences.

Preferred

Experience working on large-scale AI deployments involving medical imaging (e.g., radiology or pathology), EHR systems integration, or remote patient monitoring platforms.

Familiarity with AI deployment/inference technologies such as TensorRT, TRT-LLM.

Understanding of regulatory requirements (e.g., HIPAA) and data privacy concerns specific to healthcare data.

Familiarity with clinical workflows and healthcare IT systems such as PACS (Picture Archiving and Communication Systems) or HL7/FHIR standards.

Established thought leadership through publications or presentations on AI/ML applications in digital health with experience collaborating with healthcare providers or tech companies passionate about improving patient outcomes through innovative solutions.

Benefits

Equity

Benefits

Company

NVIDIA

Glassdoor

4.6

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Founded in 1993

Santa Clara, California, USA

10,001+ employees

https://www.nvidia.com

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (735)

2022 (892)

2021 (696)

2020 (534)