Lead Engineer, Healthcare Data Operations and Strategy

Details

At NVIDIA, we're building the platforms to accelerate the healthcare applications of tomorrow. Software, Hardware, as well as data. This role focuses on healthcare data: an opportunity to influence NVIDIA research, engineering, and the products customers build.

Responsibilities

• Lead healthcare data operations and guide strategy for NVIDIA's healthcare data programs.
• Define a portfolio strategy and selection methodology for 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 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 a healthcare data MLOps platform that ingests, curates, validates, governs, and serves multi-institution healthcare data at scale. Combine NVIDIA internal tooling with 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 high-priority needs.
• Establish data quality, provenance, de-identification, and governance standards that scale across modalities and meet regulatory and compliance expectations of global clinical partners.

Requirements

• 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 and review schema choices or pipeline architectures.
• BS or higher in Computer Science, Biomedical Engineering, Computational Biology, or a related technical field, or equivalent experience.

Ways to Stand Out

• 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.

Compensation & Benefits

• Base salary ranges by level:
  • Level 5: 224,000 USD - 356,500 USD
  • Level 6: 272,000 USD - 431,250 USD
• Eligible for equity and benefits (link to NVIDIA benefits).

Additional Information

• 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 an equal opportunity employer and does not discriminate on the basis of protected characteristics.