NVIDIA
AI, Data Engineering, and Data Science
SeniorTechnicalProgramManager
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“Senior Technical Program Manager at NVIDIA. Skills: Technical Program Management, Data Program Management, Generative AI Data, ML Data Requirements. Oversee the collection, curation, and release of massive-scale datasets. Build the data foundation that enables NVIDIA’s models to lead in enterprise and agentic AI”
What You'll Achieve.
Enable NVIDIA’s models to lead in enterprise and agentic AI; Deliver premier language understanding and synthetic data generation optimized for NVIDIA infrastructure; Meet program milestones; Ensure all datasets meet licensing and compliance standards
Industry & Context.
Agile Problem Solving; Manage ambiguous, multi-stakeholder programs where requirements evolve weekly; Comfort experimenting with data to test hypotheses; Adapting to shifting priorities
What They're Looking For.
Must Have
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 TPM roles within the tech industry, Validated ability to manage ambiguous, multi-stakeholder programs where requirements evolve weekly, interpersonal skills with a track record of influencing teams and partnering with ML researchers to turn model needs into actionable data requirements
Nice to Have
Experience delivering large-scale data for generative AI (LLMs, VLMs, Diffusion), Familiarity with synthetic data generation techniques versus human-labeled data, Background in data science or ML research, Experience with 'data-as-code' initiatives, Hands-on experience scaling Human-in-the-Loop (HiTL) annotation workflows, including task design and vendor management
What You'll Do.
Oversee the collection
and release of massive-scale datasets
Build the data foundation that enables NVIDIA’s models to lead in enterprise and agentic AI
Deliver premier language understanding and synthetic data generation optimized for NVIDIA infrastructure
Lead end-to-end data programs from acquisition through release
Translate machine learning research requirements into sourcing plans
Drive cross-functional alignment between engineering
and operations to meet program milestones
Define data quality metrics—focusing on diversity
and annotation quality
Act as the primary liaison with Legal to ensure all datasets meet licensing and compliance standards
Lead internal and external annotation campaigns by establishing quality rubrics and feedback loops
track 'Data Velocity' metrics
and handle risks for senior leadership reviews
How You'll Work.
Team & Collaboration
Drive cross-functional alignment between engineering, legal, and operations; Partnering with ML researchers
Communication Scope
Interpersonal skills; Track record of influencing teams
Process & Methodology
Program Lifecycle & Strategy, Lead end-to-end data programs, Manage ambiguous, multi-stakeholder programs, Maintain roadmaps, Track 'Data Velocity' metrics, Handle risks
Full 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
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