Job description

The Nemotron EMB PMO organization seeks a Technical Program Manager to oversee the collection, curation, and release of massive-scale datasets. In this position, the TPgM will build the data foundation that enables NVIDIA’s models to lead in enterprise and agentic AI, delivering premier language understanding and synthetic data generation optimized for NVIDIA infrastructure. What you will be doing: • Program Lifecycle & Strategy: Lead end-to-end data programs from acquisition through release. Translate machine learning research requirements into sourcing plans and drive cross-functional alignment between engineering, legal, and operations to meet program milestones. • Quality & Compliance: Define data quality metrics—focusing on diversity, complexity, and annotation quality—while owning data inventory, lineage, and IP clearance. Act as the primary liaison with Legal to ensure all datasets meet licensing and compliance standards. • Execution & Operations: Lead internal and external annotation campaigns by establishing quality rubrics and feedback loops. Maintain roadmaps, track "Data Velocity" metrics, and handle risks for senior leadership reviews. What we need to see: • Technical Foundation: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience), plus 8+ years of proven experience in data, software development, or TPM roles within the tech industry. • Agile Problem Solving: Validated ability to manage ambiguous, multi-stakeholder programs where requirements evolve weekly. Be comfortable experimenting with data to test hypotheses and adapting to shifting priorities. • Stakeholder Leadership: Strong interpersonal skills with a track record of influencing teams and partnering with ML researchers to turn model needs into actionable data requirements. Ways to stand out from the crowd: • AI Specialization: Experience delivering large-scale data for generative AI (LLMs, VLMs, Diffusion) and familiarity with synthetic data generation techniques versus human-labeled data. • Technical Expertise: A background in data science or ML research, particularly with "data-as-code" initiatives. • Workflow Design: Hands-on experience scaling Human-in-the-Loop (HiTL) annotation workflows, including task design and vendor management. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, and Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

Requirements

Must-haves

Agile Problem Solving: Validated ability to manage ambiguous, multi-stakeholder programs where requirements evolve weekly. Be comfortable experimenting with data to test hypotheses and adapting to shifting priorities.
Stakeholder Leadership: Strong interpersonal skills with a track record of influencing teams and partnering with ML researchers to turn model needs into actionable data requirements.
AI Specialization: Experience delivering large-scale data for generative AI (LLMs, VLMs, Diffusion) and familiarity with synthetic data generation techniques versus human-labeled data.
Technical Expertise: A background in data science or ML research, particularly with "data-as-code" initiatives.
Workflow Design: Hands-on experience scaling Human-in-the-Loop (HiTL) annotation workflows, including task design and vendor management.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 18, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningagileml

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Effort: medium