Manager, Deep Learning Algorithms

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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 engineering activities related to productizing Deep Learning models • Lead and mentor engineers • Own activities and interactions with teams across NVIDIA • Align priorities with internal partners across relevant teams • Develop roadmaps for highly optimized numerical, analytics, and deep learning algorithms • Plan, schedule, mentor, and lead execution of team projects and activities • Create, optimize, and deploy training and inference deep learning workloads • Collaborate with internal customers to align priorities across business units • Coordinate projects across different geographic locations • Grow and develop a world-class team • Travel occasionally to conferences, other sites, or customer locations

🎯 Requirements

• Minimum requirement of BSc, 8 years related overall experience, including 3 years of management/leadership experience, or an equivalent combination of graduate studies and experience • Experience leading multiple software engineering projects • Strong algorithms and deep learning skills or experience • Excellent programming, debugging, performance analysis, and test design skills • Great communication • Experience with inference of deep learning models • Experience doing performance analysis and tuning • Exposure to hardware architecture, ideally accelerators, and numerical software • Familiarity with project management tools such as JIRA or Microsoft Project

🏖️ Benefits

• Travel to conferences, other sites, or visit customers occasionally • Equal opportunity employer • Diverse work environment