[Remote] Solutions Architect, Healthcare Life Sciences at NVIDIA

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Life Sciences, Artificial IntelligenceIndustries

Requirements

MS, PhD or equivalent experience in Computer Science, Biomedical Engineering, Computational Biology, or related fields with strong applied experience
5+ years of experience in software development related to AI/ML in healthcare or life sciences
Deep experience with end-to-end generative AI solutions: data ingestion, preprocessing, model training, agentic tool development, pipeline deployment and evaluation
Proficiency in Python and AI/ML frameworks (PyTorch, Langchain, or building custom framework)
Experience deploying and scaling agentic AI solutions in cloud environments (AWS Bedrock, Azure AI foundry, Vertex AI, etc)
Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences

Responsibilities

Guide customers through the end-to-end process of AI adoption—from requirements gathering and proof-of-concept development to deployment, integration, and ongoing optimization
Design, develop, and optimize solutions tailored for healthcare and life science applications, such as AI scientist, autonomous lab, intelligent diagnostic tools, and clinical agents
Architect and implement generative AI workflows for use cases including synthetic data generation for biological modalities, domain-adapted pretraining of foundation LLMs, finetuning reasoning models, and orchestration of multi-agent LLM systems using NVIDIA’s GPU-accelerated platforms
Keep up to date on AI advancements in healthcare, including multi-modal biology models, virtual cell platforms, and clinical prediction models for patient identification and precision medicine
Develop proof-of-concept demonstrations showcasing how NVIDIA’s technology accelerates healthcare innovations
Engage with healthcare executives, IT managers, data scientists, clinicians, and developers to promote the adoption of AI-powered healthcare applications
Share your findings through training sessions, whitepapers, or blog posts
Some travel may be required for on-site customer engagements

Skills

Large Language Models (LLMs)

Generative AI

AI Architect

GPU-accelerated AI systems

AI Adoption

Proof-of-Concept Development

Solution Design

AI Workflow

Synthetic Data Generation

LLM Finetuning

Multi-Agent LLM Systems

Clinical Decision Support

Medical Research

Patient Engagement

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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