# Engineering Manager, Data Labeling Platform

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Engineering-Manager--Data-Labeling-Platform_JR2024242?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_63194ac5-542

## Description

NVIDIA is seeking an exceptional Engineering Manager to lead, scale, and innovate its core Data Labeling Platform. This highly visible role involves bridging bleeding-edge AI engineering, scalable software systems, and massive-scale operations.

The Engineering Manager will lead a team of talented engineers to design and build a next-generation data annotation platform. The platform supports high-volume active annotation projects across diverse research areas, such as Nemotron, Cosmos, Robotics, and Red Teaming. The team's focus will be on driving operational efficiency through annotation interfaces, scalable backend workflows, models-in-the-loop, auto-labeling systems, data pipelines, and intelligent orchestration tools.

**Responsibilities:**

- System Design & Programming: Maintain a high technical bar, guide robust software design, ensure clean data engineering practices, and occasionally engage in hands-on Python programming.

- People Leadership: Build, mentor, and lead a high-performing team of software, data, and AI application engineers.

- Stakeholder Management: Serve as a critical bridge and strategic partner, aligning engineering roadmaps with high-level VPs, Research Leaders, and the Data Factory operations workforce.

- AI Application Engineering: Architect and drive the implementation of next-generation auto-labeling applications that leverage multi-modal models-in-the-loop.

- Data Engineering & Analytics: Own the data engineering layer that makes annotation work measurable, including event logging, ETL into NVIDIA's data lake, metrics, dashboards, and alerting.

- Front-End & Annotation Interfaces: Direct front-end engineering for custom annotation interfaces across various modalities.

- Operations Scaling: Optimize the platform for maximum scalability, data integrity, and throughput.

**Requirements:**

- Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related technical field.

- 10+ years of professional software engineering experience, including 2+ years as a technical lead or engineering manager.

- Strong background as a Software Engineer, Data Engineer, or AI Application Engineer, with excellent system design skills and hands-on expertise in Python.

- Proven experience in architecture-level understanding of data pipelines, distributed systems, and integrating machine learning models into production workflows.

- Experience leading technical initiatives, mentoring engineers, or formally managing a team.

- Exceptional stakeholder management skills.

**Nice to Have:**

- Experience with human-in-the-loop data programs.

- Experience applying models to reduce or assist human effort in a labeling workflow.

- Working proficiency in TypeScript or JavaScript.

- Background in multimodal data.

The successful candidate will be eligible for equity and benefits.

## Skills

### Required
- Python
- Data Engineering
- AI Application Engineering
- System Design
- Leadership

### Nice to have
- TypeScript
- JavaScript
- Multimodal Data
- Human-in-the-loop Data Programs

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Engineering-Manager--Data-Labeling-Platform_JR2024242?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)