Developer Relations Manager, Core CUDA Math Libraries

NVIDIA•Santa Clara, CA

10d

About The Position

NVIDIA seeks a Developer Relations Manager to lead our work in architecting impactful usage and adoption of our core CUDA Math Libraries. We are interested in finding a leader in high performance numerical computing to define and guide strategic relationship building for NVIDIA's core math library products that can further enable significant adoption, namely for mixed precision usage and tooling. NVIDIA's core CUDA math libraries are the foundation of NVIDIA CUDA-X libraries. This position will require leading at the intersection of Engineering, Product, and our customers to advocate, strategize, and lead the enablement of mixed precision efforts across our core CUDA math libraries. We’re looking for hard-working and passionate technologists with high performance for numerical computing domain expertise to engage the community. In this role you will lead defining strategic partnerships, leading collaborations, driving software adoption, and evangelizing the NVIDIA platform for core CUDA math libraries with developers and customers. The Math Libraries organization is a strong, growing, and visible group in this exciting area, driving strategy and meaningful adoption for our customers. Do you have the rare blend of both technical and relationship skills? Are you passionate about groundbreaking technology? If so, we would love to learn more about you!

Requirements

BS/MS/PhD in Mathematics, Computer Science or Engineering or equivalent experience
8+ Years of experience in a major technology company, managing ISVs and partnerships and or delivering Software and SDKs
Experience managing technical and business alliances across multiple partner groups and peer team(s)
Proven understanding of high performance numerical computing on CPUs and GPUs, high performance technologies and ecosystem
World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences

Nice To Haves

Experience with NVIDIA products and SDKs (HPC SDK, CUDA Toolkit, cuBLAS)
Hands-on experience in high-performance computing environments, applied machine learning, or deep learning
Experience with mixed-precision and reduced-precision methods and numerical properties
Knowledge of floating-point emulation techniques for scalar and matrix calculations

Responsibilities

Develop developer and ISV strategy with cross-functional teams in Product and Engineering.
Lead strategic relationships with key opinion leaders, leading ISVs, and influential researchers.
Evangelize and directly engage target applications, academic, and ISV collaborators.
Drive early adoption of new products and support launch and go-to-market activities.