Nvidia Vice President Engineering - Data Science Products 

United States, California 

615507984

What you’ll be doing:

• Lead and grow the existing team of 100+ engineers, data scientists, and managers

• Work with the open source community and other data platforms to help the world accelerate its data work with NVIDIA libraries

• Expand and build on our efforts to bridge the worlds of traditional data processing and emerging AI workloads

• Drive engineering and architectural excellence

• Partner closely with product management to ensure enterprise readiness and support

What we need to see:

• MS, or PhD or equivalent experience in Computer Science, Computer Engineering, Mathematics, Physics, or related field.

• 10+ or more years of experience in leading/managing a software development team in agile environment as well as performance sensitive and/or real-time software and customer facing software products.

• 20+ or more years of overall experience in software design, including debugging, performance analysis, and testing designs.

• Executive experience in collaborating with partner ISVs and platforms.

• Highly proficient in data, cloud, data science and ideally accelerated compute (e.g. Spark, Kubernetes, Dask, Python ecosystem, and CUDA).

• Experience developing platforms or tools for developers.

• Track record of building high-performing teams and growing leaders.

• Excellent communication skills and the ability to lead multi-functional efforts.

• Deep understanding of how to build successful products in large-scale environments.

Ways to stand out from the crowd:

• Ability to work well with open source communities and foster their growth.

• Experience with CUDA or other parallel programming systems.

• Strong understanding of high-performance microservices architectures.

• Expertise in deep learning, RAG and modern text search, embeddings, or similar AI technologies.