Engineering Manager, Data Labeling Platform

NVIDIA

. Lead, scale, and innovate NVIDIA’s core Data Labeling Platform .

Posted 10/31/2026full-timeRemote • California • United StatesSeniorLead💰 $200,000 - $391,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams and designing scalable data annotation platforms, with a strong focus on Python programming and data engineering practices. Proficient in integrating machine learning models into production workflows and managing stakeholder communications effectively.

Highest-signal resume keywords

Python ProgrammingData EngineeringTechnical LeadershipSystem DesignMachine Learning Integration

ATS Keywords

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Hard Skills

Software EngineeringData Annotation PlatformsData PipelinesDistributed SystemsAuto-Labeling ApplicationsMultimodal DataETL ProcessesMetrics and DashboardsEvent LoggingTechnical Initiatives

Soft Skills

Stakeholder ManagementCommunicationMentoringTeam ManagementStrategic Translation

Tools & Technologies

TypeScriptJavaScript

Certifications & Qualifications

Bachelor’s DegreeMaster’s DegreePhD in Computer ScienceEngineering

Industry Keywords

Data LabelingAI ApplicationsRoboticsData IntegrityScalabilityHuman-in-the-Loop

Tech Stack

Tools & technologies

Distributed SystemsETLJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Lead, scale, and innovate NVIDIA’s core Data Labeling Platform
Lead a team of software, data, and AI application engineers
Design and build next-generation data annotation platforms
Maintain a high technical bar and guide robust software design
Ensure clean data engineering practices and occasionally perform hands-on Python programming
Build, mentor, and manage a high-performing engineering team
Align engineering roadmaps with VPs, Research Leaders, and Data Factory operations
Architect and implement auto-labeling applications using multimodal models-in-the-loop
Own event logging, ETL into NVIDIA’s data lake, metrics, dashboards, and alerting
Direct front-end engineering for annotation interfaces across text, video, audio, speech, and document modalities
Optimize the platform for scalability, data integrity, and throughput
Support annotation projects for research areas including Nemotron, Cosmos, Robotics, and Red teaming

Requirements

What you’ll need

Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related technical field (or equivalent experience)
10+ overall years of professional software engineering experience
2+ years as a technical lead or engineering manager
Strong background as a Software Engineer, Data Engineer, or AI Application Engineer
Excellent system design skills
Deep hands-on expertise in Python
Architecture-level understanding of data pipelines and distributed systems
Experience integrating machine learning models into production workflows, specifically auto-labeling or human-in-the-loop paradigms
Experience leading technical initiatives, mentoring engineers, or formally managing a team
Exceptional stakeholder management and communication skills
Ability to translate technical constraints into strategic updates for VPs and business goals into operational directives
Working proficiency in TypeScript or JavaScript is listed as a way to stand out
Experience with multimodal data is listed as a way to stand out

Benefits

Comp & perks

Equity
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