
10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ 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.
đ August 10
đľđą Poland â Remote
đľ zĹ345k - zĹ702k / year
â° Full Time
đ Senior
đ´ Lead
đ Manager
đť Ghost score 5%
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10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ 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.
⢠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
⢠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
⢠Travel to conferences, other sites, or visit customers occasionally ⢠Equal opportunity employer ⢠Diverse work environment
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