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.
Responsibilities:
- 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.
Requirements:
- 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.
Preferred Qualifications:
- 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.