NVIDIA · 6 hours ago
Solutions Architect - Healthcare
US, MA, Remote
Full-time
Remote
Mid Level
$148K/yr - $276K/yr
3+ years exp
Maximize your interview chancesArtificial Intelligence (AI)GPU
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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
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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
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+ employees
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
Represents job field similar to this job
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity· Undisclosed
Leadership Team
Jensen Huang
CEO and Founder
Chris Malachowsky
Co-Founder, SVP
Recent News
Tech Startups - Startups and Technology news
2024-11-08
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