Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Agentic AI @ 4
Compliance
Data Science @ 6
GenAI
Generative AI @ 4
LLM
Machine Learning @ 4
Software Development @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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
- Lead end-to-end data programs from acquisition through release.
- Translate machine learning research requirements into sourcing plans.
- Drive cross-functional alignment between engineering, legal, and operations to meet program milestones.
- Define data quality metrics focused on diversity, complexity, and annotation quality.
- Own data inventory, lineage, and intellectual property clearance.
- Liaise with Legal to ensure datasets meet licensing and compliance standards.
- Lead internal and external annotation campaigns by establishing quality rubrics and feedback loops.
- Maintain roadmaps, track “Data Velocity” metrics, and manage risks for senior leadership reviews.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
- 8+ years of proven experience in data, software development, or Technical Program Management roles within the technology industry.
- Ability to manage ambiguous, multi-stakeholder programs where requirements evolve frequently.
- Comfortable experimenting with data to test hypotheses and adapting to shifting priorities.
- Strong interpersonal skills and a track record of influencing teams.
- Experience partnering with machine learning researchers to turn model needs into actionable data requirements.
Preferred Qualifications
- Experience delivering large-scale data for generative AI, including LLMs, VLMs, or diffusion models.
- Familiarity with synthetic data generation techniques and human-labeled data.
- Background in data science or machine learning research, particularly with “data-as-code” initiatives.
- Hands-on experience scaling Human-in-the-Loop annotation workflows, including task design and vendor management.
Benefits
- Competitive salary.
- Generous benefits package.
- Equity eligibility.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
- Applications will be accepted at least until September 18, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
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