Engineering Manager, Data Labeling Platform

🔥 7 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $200k - $391k / year

⏰ Full Time

🟠 Senior

🔴 Lead

⬇️ Data Entry

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👻 Ghost score 21%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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

• 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

• Equity • Benefits

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