Engineering Manager - AI Data Labeling Platform

Polluxa, Inc.; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

NVIDIA is seeking an exceptional Engineering Manager to lead the Data Labeling Platform. You will oversee a team delivering end-to-end data annotation workflows, scalable backends, and AI-driven labeling solutions across multiple research areas.

The role emphasizes leading engineers, architecting scalable data systems, and delivering reliable annotation interfaces to support autonomous labeling and high-throughput operations.

Qualifications

• Experience leading software engineering teams
• Strong understanding of scalable systems and data platforms
• Proficiency in Python and data engineering concepts

Responsibilities

• Guide robust software design with a high technical bar
• Mentor and lead a high-performing team of software, data, and AI engineers
• Bridge engineering roadmaps with senior leaders and operations stakeholders
• Architect and drive auto-labeling/annotation applications leveraging multi-modal models
• Own data engineering layer: event logging, ETL, data lake metrics and dashboards
• Direct front-end engineering for annotation interfaces across modalities
• Scale platform for maximum throughput and reliability

Skills

Team leadership

System design

Python programming

Frontend development

Data pipelines

Job description

NVIDIA is seeking an exceptional Engineering Manager to lead the Data Labeling Platform. You will oversee a team delivering end-to-end data annotation workflows, scalable backends, and AI-driven labeling solutions across multiple research areas.

The role emphasizes leading engineers, architecting scalable data systems, and delivering reliable annotation interfaces to support autonomous labeling and high-throughput operations.