Technical Program Manager, Dataset Operations

NVIDIA; Santa Clara (CA); On-site; USD 168,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a seasoned TPM/Product Ops leader to own the lifecycle of large-scale AI datasets across modalities, coordinating across research, engineering, and external vendors. You will translate model needs into precise data specs, define quality metrics, and build scalable processes for multi-vendor coordination.

You should have 5+ years in AI/data systems, a Master’s degree (or equivalent), and proven vendor management experience.

Qualifications

• 5+ years of experience as a TPM, Product Ops, or similar role in AI/ML or data-intensive systems.
• Masters degree (or equivalent experience).
• Proven experience managing external vendors or large-scale data programs.
• Strong understanding of ML data pipelines and dataset lifecycle.
• Ability to operate in ambiguous, fast-moving research environments.
• Familiarity with computer vision/video datasets, robotics/embodied AI data, or autonomous driving datasets.
• Understanding of annotation workflows, data quality evaluation, and dataset biases.
• Strong program structuring skills (clear specs, milestones, tracking).
• Ability to convert high-level goals into concrete execution plans.

Responsibilities

• Own the lifecycle of large-scale datasets across modalities (video, robotics, autonomous driving).
• Manage external data vendors end-to-end: scope, onboarding, contracting, data specs, delivery tracking, quality control.
• Establish scalable processes for multi-vendor coordination.
• Translate research/model requirements into clear data specs and track data quality metrics.
• Partner with research, engineering, and legal/compliance teams to align dataset strategy with model timelines.
• Build frameworks for dataset versioning, vendor benchmarking, and cost vs. quality optimization.

Skills

TPM/Product Ops

Vendor management

ML data pipelines

Dataset lifecycle

Cross-functional coordination

Executive communication

Education

Master's degree

Job description

What You’ll Be Doing:

Dataset & Vendor Program Management

• Own the lifecycle of large-scale datasets across modalities:

  • Ego-centric video (AR/VR, human interaction)

  • Robotics data (manipulation, embodied AI)

  • Autonomous driving data (multi-sensor, multi-agent)

• Manage external data vendors end-to-end:

  • Scope definition, onboarding, and contracting

  • Data specification and annotation guidelines

  • Delivery tracking, quality control, and iteration loops

• Establish scalable processes for multi-vendor coordination

Data Quality & Specification

• Translate research and model requirements into clear, enforceable data specs

• Define and track data quality metrics (coverage, diversity, labeling accuracy, temporal consistency)

• Drive continuous improvement via structured feedback loops with vendors

Cross-Functional Execution

• Partner with:

  • Research teams (to understand evolving model needs)

  • Engineering teams (data pipelines, storage, tooling)

  • Legal/compliance (data usage rights, privacy, licensing)

• Align dataset strategy with model training and product timelines

Scaling Data Systems

• Build frameworks for:

  • Dataset versioning and traceability

  • Vendor performance benchmarking

  • Cost vs. quality optimization

• Drive automation where possible, but maintain strong operational rigor

What we need to see:

• 5+ years of experience as a TPM, Product Ops, or similar role in AI/ML or data-intensive systems and Masters degree (or equivalent experience)

• Proven experience managing external vendors or large-scale data programs

• Strong understanding of ML data pipelines and dataset lifecycle

• Ability to operate in ambiguous, fast-moving research environments

• Familiarity with one or more:

  • Computer vision / video datasets

  • Robotics / embodied AI data

  • Autonomous driving datasets

• Understanding of:

  • Annotation workflows

  • Data quality evaluation

  • Dataset biases and coverage challenges

• Strong program structuring skills (clear specs, milestones, tracking)

• Ability to convert high-level goals into concrete execution plans

• Comfortable working across research, engineering, and external partner

Ways to stand out from the crowd:

• Experience with multi-modal datasets (video, sensor, action data)

• Background in robotics, self-driving, or AR/VR

• Experience building vendor ecosystems from scratch

• Familiarity with data compliance (GDPR, privacy, licensing constraints)

Why This Role Matters:

High-quality data is the foundation of Physical AI. As models evolve toward world understanding and action, dataset complexity increases dramatically. This role is critical to ensuring that we can reliably acquire, manage, and scale the data needed to train next-generation systems.

At NVIDIA, we believe the next generation of AI will be physical AI – systems that perceive, reason, and act in the real world. Building these models requires building robust systems that span across large-scale compute, multimodal datasets, simulation-driven synthetic data, and real-time reasoning for robots and autonomous systems. Our Cosmos team sits at the heart of this mission. We build the systems that make it possible to train Cosmos, NVIDIA’s world foundation model for physical AI. Cosmos enables large-scale AI models for robots, autonomous agents, and AI systems to understand, plan, and act in complex environments.

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 May 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.