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Nvidia Healthcare Jobs (NOW HIRING)

Nvidia

At NVIDIA Healthcare, we build SDKs to enable entire industries to embrace AI and accelerated computing in ways that directly impact human health, speeding the development of life-saving medicines.

Nvidia

Senior Alliance Manager, BioNeMo

New York, NY · On-site

At NVIDIA Healthcare, we build SDKs to enable entire industries to embrace AI and accelerated computing in ways that directly impact human health, speeding the development of life-saving medicines.

Nvidia

OR · On-site

NVIDIA is the engine of modern artificial intelligence-the most significant technology breakthrough of our time-and is redefining the healthcare landscape. Our accelerated computing platforms and ...

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Nvidia Healthcare information

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$31.5K

$77.4K

$125K

How much do nvidia healthcare jobs pay per year?

As of Jun 15, 2026, the average yearly pay for nvidia healthcare in the United States is $77,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $98,000.00 per year, depending on experience, location, and employer.

What is the difference between Nvidia Healthcare vs Medical Imaging Specialist?

AspectNvidia HealthcareMedical Imaging Specialist
Required CredentialsTypically requires a background in computer science, engineering, or related fields; knowledge of AI and GPU technologiesRequires a degree in radiology, medical imaging, or related healthcare fields; certifications in imaging modalities
Work EnvironmentTechnology companies, research labs, healthcare tech developmentHospitals, diagnostic labs, imaging centers
Employer & Industry UsageTech industry, healthcare technology development, AI researchHealthcare providers, diagnostic imaging services

While Nvidia Healthcare focuses on developing AI and GPU solutions for healthcare applications, Medical Imaging Specialists operate directly within clinical settings, interpreting images and performing diagnostic procedures. Nvidia Healthcare professionals typically work in tech-driven environments, whereas Medical Imaging Specialists are embedded in healthcare facilities. Both roles require specialized knowledge but serve different aspects of healthcare technology and patient care.

Lead Engineer, Healthcare Data Operations and Strategy

Lead Engineer, Healthcare Data Operations and Strategy

Nvidia

Santa Clara, CA • On-site

$120K - $158K/yr

Full-time

Posted 7 days ago

Job description

At NVIDIA, we're building the platforms to accelerate the healthcare applications of tomorrow. Software, Hardware, as well as data. We're looking for dedicated contributors who know how to focus on the latter. This is an opportunity to influence the direction of NVIDIA research, engineering, and ultimately the products which our customers build.

This role leads healthcare data operations and guides its strategy. You decide what to build next and collaborate with community partners to build it. You also establish the MLOps backbone that makes each program a durable, growing asset. You connect leading clinicians, academic researchers, medtech industry partners, and NVIDIA's engineering and product teams.

What You'll Be Doing:

  • Define a portfolio strategy and selection methodology for NVIDIA's healthcare data programs with key collaborators. Prioritize modalities, clinical domains, and partner cohorts based on scientific and market impact, downstream model value, partner readiness, and technical feasibility.

  • Drive the tactical execution of new healthcare data collaborations end-to-end: prioritizing, data contribution agreements and licensing, contribution standards, release planning, and public launch.

  • Architect and build our healthcare data MLOps platform that ingests, curates, validates, governs, and serves multi-institution healthcare data at scale. Combine NVIDIA's internal tooling with outstanding external systems when appropriate.

  • Partner directly with NVIDIA healthcare and model training teams (e.g., GR00T, Cosmos) to ensure data programs are sequenced and crafted to feed the highest-priority needs.

  • Establish data quality, provenance, de-identification, and governance standards that scale across modalities and meet the regulatory and compliance expectations of global clinical partners.

What We Need to See:

  • 12+ years working with healthcare data - building datasets, running data programs, or leading MLOps workflows in a healthcare or medtech setting.

  • Strong technical proficiency across the healthcare data lifecycle: ingestion, curation, annotation, de-identification, governance (HIPAA, GDPR, IRB workflows), and serving for training and evaluation.

  • Hands-on experience with MLOps tooling - data lakes/lakehouses, dataset versioning (e.g., Hugging Face Datasets, LakeFS, DVC), workflow orchestration, validation frameworks - and a clear point of view on when to build versus integrate.

  • Familiarity operating at the intersection of strategy, partnerships, and engineering - able to set portfolio direction one day and review schema choices or pipeline architectures the next.

  • BS or higher in Computer Science, Biomedical Engineering, Computational Biology, or a related technical field, or equivalent experience.

Ways to Stand Out from the Crowd:

  • Direct healthcare industry experience - including familiarity with how device data is generated, retained, and released.

  • Track record of launching publicly released, commercially usable healthcare datasets.

  • Experience standing up data infrastructure for foundation model training, including multi-modal sensor data.

  • Deep relationships across the global clinical AI community (MedTech or biopharma), and a history of converting those relationships into shipped artifacts.

  • Familiarity with NVIDIA platforms relevant to healthcare AI - Holoscan, BioNeMo, Cosmos, Isaac, NeMo Data Designer, or Omniverse.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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