Engineering Manager, Data Labeling Platform

Job not on LinkedIn

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $200k - $391k / year

⏰ Full Time

🟠 Senior

🔴 Lead

⬇️ Data Entry

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👻 Ghost score 1%

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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 a next-generation data annotation platform • Maintain a high technical bar and guide robust software design • Ensure clean data engineering practices and contribute hands-on Python programming when solving architectural bottlenecks • Build, mentor, and lead a high-performing engineering team • Align engineering roadmaps with high-level VPs, research leaders, and Data Factory operations • Architect and drive auto-labeling applications using multimodal models-in-the-loop • Own event logging, ETL into NVIDIA’s data lake, metrics, dashboards, and alerting against reliability and latency targets • Direct front-end engineering for custom annotation interfaces across text, video, audio, speech, and document modalities • Optimize the platform for scalability, data integrity, and throughput • Support annotation projects across NVIDIA’s internal data operations and external annotation partners

🎯 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, including 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 • Experience with human-in-the-loop data programs, such as RLHF, preference data, red teaming, or multimodal datasets • Experience applying models to reduce or assist human effort in labeling workflows • Working proficiency in TypeScript or JavaScript • Experience delivering applications where interaction design affects user throughput and error rate • Background in multimodal data, including video, 3D and point cloud, speech, or document understanding

🏖️ Benefits

• Equity • Benefits