GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
November 18
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
• Collaborate across the core NVIDIA team (developer relations, engineering, product, commercial and marketing) supporting leading ISVs and Service Providers. • Stay up to date with NVIDIA’s broad and constantly evolving ecosystem of tools, libraries and SDKs, driving early adoption of new offerings. • Champion a spirit of co-innovation and find opportunities for joint success, promoting NVIDIA tools, libraries and SDKs within the ISV architect and developer communities. • Leverage a deep understanding of Gen AI workflows and LLM breakthroughs to evolve ecosystems and alliances, attend and present at industry events, build a network of influencers and accurately track opportunities in progress. • Discover new ISV workflows, identify blockers to ISV adoption and share with product teams. • Champion ISV needs and perspectives within NVIDIA, influencing product strategy and go-to-market initiatives. • Some travel will be required to engage with partners and attend industry events.
• BSc or MSc in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience). • Native speaking or business fluent in German. • Experience working in or with Siemens. • 10+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions. • Deep understanding of Gen AI and LLM ecosystem of startups, ISVs, data stores, CSP services and SaaS/platform offerings. • Strong analytical and problem-solving skills, with deep empathy for developers. • Comfortable working in a rapidly-evolving environment which is often complex and ambiguous! • Clear written and oral communication skills with proven track record to articulate value propositions to both technical and non-technical audiences. • Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, engaging with both internal and external partners. • Extensive knowledge and experience of recent advancements in LLMs and Gen AI.
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