Developer Relations Manager – CSP and Hyperscale

September 17

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Logo of NVIDIA

NVIDIA

Artificial Intelligence • Gaming • Automotive

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.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Lead and develop NVIDIA developer and ISV strategy with multi-functional team: Product, Engineering, Applied Research, Marketing, and Sales. • Develop a detailed understanding and prioritization list of services and applications that could benefit from GPU acceleration in the AI / Gen AI space. • Lead strategic relationship with key opinion leaders, influential researchers, leading product teams, leading developers focused new initiatives. • Establish strategic relationships with CSP engineering leads & developers, dedicate yourself to making them successful. • Turn features requests into actionable engineering and product steering. • Understand application workflow and architectural requirements to enable GPU based workloads acceleration. • Integrate NVIDIA GPU acceleration into CSP Applications. • Be alert to the competitive landscape and communicate internally. • Create strategic partnership and build community by attending research conferences and hosting technical meetups. • Host CSP developers summits; AI, Deep Learning, HPC, Professional Visualization. • Engage industry events to speak, collect requirements, establish relationships, showcase NVIDIA GPU accelerated solutions.

🎯 Requirements

• BS/MS/PhD in Computer Science or Engineering or equivalent experience. • 12+ years experience with Cloud, AI, Scalable Applications, Data Analytics, and GPU technology. • Good technical understanding of Generative AI, high-performance computing, database analytics. • Solid understanding of machine learning, deep learning, artificial intelligence platforms and ecosystems. • Comfortably work across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers.

🏖️ Benefits

• eligible for equity and benefits

Apply Now

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