
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.
🔥 18 hours ago
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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.
• Develop and maintain deep technical expertise in the cloud provider and hosting industry • Serve as trusted technical advisor, problem solver, and champion for the developer ecosystem • Demonstrate and integrate NVIDIA software tools, libraries, SDKs, NIMs, and blueprints into partner products, platforms, and pipelines • Guide partners through onboarding and integration using sample code, guides, and demo pipelines • Map and monitor the developer ecosystem to identify growth opportunities • Collaborate with engineering, product management, and marketing to inform roadmaps and optimize partner adoption strategies • Engage partner technical leaders to drive best-practice integrations and resolve technical challenges • Track adoption, surface new workflows, and channel field insights to NVIDIA product teams • Coordinate feedback across product and engineering organizations • Assist product marketing initiatives through technology evangelization • Orchestrate adjacent team members to align end-to-end architectures and execute technology integrations
• Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field • Minimum of 8+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, solutions architect, or product management • 5+ years of direct hands-on experience in cloud hosting or AI Factory infrastructure • Experience leading, partnering, and scaling developer programs at major technology companies, cloud infrastructure ISVs, or relevant verticals • Significant technical depth in cloud hosting software, end-to-end AI Factory infrastructure, container runtimes, Kubernetes, hypervisors, server hardware design, cluster building, networking design, product integrations, and software libraries • Experience leading technical collaborations with engineering and product teams, including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops • Ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators • Skill in distilling complex technical concepts for audiences ranging from engineers to executives • End-to-end experience defining, integrating, building, and jointly marketing solutions with strategic ISV partners • Hands-on experience with vertical-specific solutions, advanced computing, AI, GPU acceleration platforms, managed Kubernetes, developer communities, technical enablement programs, developer sentiment frameworks, and end-to-end AI Factory architectures listed as ways to stand out
• Competitive salaries • Generous benefits package
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