Manager, Deep Learning Algorithms

🕒 il y a 29 jours

🇵🇱 Pologne – Télétravail

💵 zł345 000 - zł702 000 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

👔 Manager

👻 Score fantôme 1%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of NVIDIA

NVIDIA

10 000+ employés

Fondée en 1993

🏥 Santé

🏭 Fabrication

🤖 Intelligence artificielle

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA est une entreprise technologique de premier plan, spécialisée dans le calcul accéléré et l’intelligence artificielle (IA). NVIDIA est à l’avant‑garde des avancées en GPU (processeurs graphiques), cloud computing, centres de données et réalité virtuelle, avec un accent particulier sur les secteurs du gaming, de l’automobile, de la santé et de la robotique. Ses innovations, telles que NVIDIA Omniverse, transforment les processus numériques traditionnels en permettant des simulations haute fidélité et des tâches de rendu de pointe. Ses applications couvrent de nombreux secteurs, des véhicules autonomes avec NVIDIA DRIVE aux solutions de santé avec NVIDIA Clara, ainsi que des analyses et workflows pilotés par l’IA.

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

🎯 Exigences

• 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

🏖️ Avantages

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

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