
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.
August 21

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.
• Promote NVIDIA tools, libraries, and SDK’s with ISV and Service Provider architects and developers. • Deeply understand Agentic AI, Gen AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress. • Discover new workflows, identify blockers to ISV adoption, and report back to the product teams. • Drive early adoption of new products and support launch and go-to-market activities. • Collaborate with NVIDIA partner managers, solution architects, industry business development managers, sales and marketing. • We make heavy use of conferencing tools, but some travel is required.
• BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience). • 10+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions. • Deep understanding of Agentic AI, Gen AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers. • Strong analytical and problem-solving skills, with deep empathy for developers. • Clear written and oral communication skills with proven track record to articulate value propositions to executive and technical audiences. • Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders. • Extensive knowledge and experience with recent advancements in LLMs , VLMs Agentic AI and Gen AI. • Passionate about AI and its evolving growth with continuous learning spirit, self-started and dri ven on focused outcome oriented activities
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