Technical Program Manager, Dataset Operations

We are looking for a Technical Program Manager (TPM) to lead the end-to-end management of large-scale, multi-modal datasets that power next-generation Physical AI systems. This role will focus heavily on vendor-sourced data pipelines, ensuring data quality, compliance, scalability, and alignment with research and product goals.

You will operate at the intersection of research, engineering, data vendors, and legal/compliance, driving execution across complex, high-stakes data programs.

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.

Please join us and be part of the forefront of developing physical AI, general-purpose robots and large-scale foundation models!

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 20