Engineering Manager, Data Labeling Platform
Core
Lead, scale, and innovate NVIDIA's core Data Labeling Platform, bridging AI engineering, scalable software systems, and massive-scale operations to support internal research and external annotation partners.
Role type
Senior Engineering Manager (Data Labeling Platform)
Builds
Next-generation data annotation platform, auto-labeling applications, scalable backend workflows, and intelligent orchestration tools.
Domain
AI/ML Infrastructure, Data Operations, Human-in-the-loop systems
Deliverable
production ML models
Required skills
System design, Python programming, People leadership, Stakeholder management, AI Application Engineering, Data Engineering & Analytics, Front-end & Annotation Interfaces, Operations Scaling
Preferred skills
Human-in-the-loop data programs experience, Model-assisted labeling workflows, TypeScript/JavaScript, Multimodal data background
Technologies
Python, TypeScript, JavaScript, Multi-modal models, Data pipelines, Distributed systems
Responsibilities
Maintain high technical bar and guide robust software design; Build, mentor, and lead a high-performing team of engineers; Align engineering roadmaps with VPs and Research Leaders; Architect and drive implementation of auto-labeling applications; Own the data engineering layer for metrics and dashboards; Direct front-end engineering for custom annotation interfaces; Optimize platform for scalability and data integrity.
Seniority
Senior, hands-on IC transitioning to or expanding into management
