About the Role
NVIDIA is shaping the future of enterprise AI, empowering organizations to build, deploy, and scale AI applications with unmatched speed and simplicity. We are seeking a senior leader to spearhead both applied research and product strategy for AI developer infrastructure. This role involves identifying high-potential research directions, collaborating directly with researchers to advance them, and translating breakthroughs into differentiated products for cloud and AI-native customers. The ideal candidate will possess a rare fluency across research and product, with the ability to foresee industry trends, make strategic investments, and deliver production systems that capture significant value. We are looking for someone who has published or contributed to impactful research, successfully built and scaled AI products from inception, and can credibly engage with research scientists, enterprise customers, and cloud partners.
What You'll Be Doing
- Identify and lead applied research initiatives in emerging AI domains, including agentic software development, physical AI, privacy-preserving ML, and model alignment, collaborating directly with research teams to advance state-of-the-art capabilities.
- Translate research breakthroughs into product strategy, defining roadmaps that create differentiated offerings for developers and enterprises.
- Lead cross-functional teams spanning research, engineering, and product to deliver AI tools and services at scale.
- Drive go-to-market strategies with lighthouse cloud partners and AI-native customers, validating research directions through direct engagement and strategic partnerships.
- Shape technical direction across multiple product areas, ensuring a coherent strategy from research through commercialization.
- Build, mentor, and scale high-performing teams across applied research and product management.
What We Need To See
- Degree in Computer Science, Machine Learning, or a related field, or equivalent experience.
- 15 years of industry experience with 8+ years in technical leadership roles.
- Demonstrated ability to both conduct applied research and ship resulting products at scale.
- Experience in the cyber security field, with product or engineering leadership roles and the ability to deliver enterprise-grade products.
- Deep technical proficiency in modern AI systems including LLMs, generative models, agentic architectures, and distributed inference.
- Experience founding or scaling AI companies or initiatives from zero-to-one.
- Strong communication skills with the ability to engage research, engineering, cloud partners, and executive audiences.
Ways to Stand Out From the Crowd
- Experience bringing AI products to market through cloud partnerships or with AI-native customers.
- Prior experience building developer platforms or infrastructure products adopted at scale.
- Track record integrating acquired technology and teams into larger organizations.