Technical Program Manager, Dataset Operations

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
• Scales 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 partners

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.

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.

Pay & Benefits

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.

NVIDIA uses AI tools in its recruiting processes.