Technical Program Manager, Dataset Operations

Nvidia

Actively hiring Verified listing
Santa Clara, US Posted 12 days ago $168,000–$258,750 / year
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At a glance

AI generated

TL;DR

As a Technical Program Manager at NVIDIA’s Cosmos team, you will lead the end-to-end management of multi-modal datasets for next-generation Physical AI systems, focusing on vendor-sourced data pipelines. Your responsibilities include managing external vendors, ensuring data quality and compliance, and aligning dataset strategies with research and product goals. You will work closely with research, engineering, legal, and compliance teams to establish scalable processes and frameworks for dataset versioning, vendor performance benchmarking, and cost optimization. Ideal candidates have 5+ years of TPM experience in AI/ML or data-intensive systems, a strong understanding of ML data pipelines, and familiarity with multi-modal datasets such as computer vision, robotics, and autonomous driving data. This role is crucial for developing high-quality data that powers advanced Physical AI models at scale.

Skills

Python SQL Kubernetes Docker CI/CD AWS GCP Azure PostgreSQL MongoDB Git JIRA Terraform Prometheus Grafana Swagger RESTful APIs GraphQL

What you'll do

  • Manage the lifecycle of multi-modal datasets including ego-centric video, robotics data, and autonomous driving data.
  • Define and enforce data specifications for external vendors to ensure quality and compliance.
  • Coordinate with research, engineering, legal, and compliance teams to align dataset strategy with product goals.
  • Establish scalable processes for managing multiple data vendors in complex programs.
  • Drive continuous improvement of data quality metrics through structured feedback loops with vendors.

What we're looking for

  • 5+ years experience as TPM or similar role in AI/ML/data-intensive systems
  • Proven track record managing external vendors and large-scale data programs
  • Strong understanding of ML data pipelines and dataset lifecycle management
  • Ability to translate research requirements into clear, enforceable data specifications
  • Experience with multi-modal datasets including video, robotics, and autonomous driving
  • Familiarity with annotation workflows, data quality evaluation, and compliance standards
  • Strong program structuring skills for cross-functional execution in ambiguous environments

Market check

Salary context

This $168,000–$258,750 range sits above 78% of similar postings on FindRole.

Peer median band

$132,000–$220,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$137,725–$212,343

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 801 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.

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