Academic AI & HPC Solutions Architect

NVIDIA; La Boissière-des-Landes; Sur place; EUR 85 000 - 110 000; Plein temps

Résumé du poste

NVIDIA seeks a Solutions Architect to partner with academia and research partners, acting as the trusted technical advisor to researchers and application developers to drive the adoption of NVIDIA technology in HPC and AI workloads at scale.

The role covers multi-node GPU systems, CUDA and CUDA-X libraries, and the full NVIDIA platform; travel is involved, but you will also leverage conferencing tools to enable customers and advance research outcomes.

Qualifications

• Graduate degree from a leading university in a STEM discipline or equivalent experience.
• 5+ years in the intersection of HPC and AI, running scientific workloads at scale on multi-node GPU systems.
• Strong collaboration and communication with academic and research stakeholders, and ability to explain complex ideas to experts and non-experts.
• Action oriented, analytical, self-motivated, with excellent organization in a heavily multi-tasked environment.
• Fluent in English, both oral and written, and comfortable working in Python.

Responsabilités

• Partner directly with leading research labs, researchers, and university faculty as a trusted technical advisor.
• Identify and accelerate high-impact workloads by integrating NVIDIA frameworks, libraries, and core software into research projects.
• Deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA's platforms; empower users to become NVIDIA champions.
• Track emerging research trends and translate gaps into prototypical solutions with feedback to NVIDIA Engineering.
• Maintain deep expertise across NVIDIA's platform: GPUs, CPUs, networking, and software.

Connaissances

HPC & AI integration

Academic collaboration

Public speaking & training

Python programming

Technical advisory

Formation

Graduate degree in STEM

Outils

CUDA & CUDA-X libraries

NVIDIA software stack

GPU architectures

Omniverse

Description du poste

NVIDIA seeks a Solutions Architect to partner with academia and research partners, acting as the trusted technical advisor to researchers and application developers to drive the adoption of NVIDIA technology in HPC and AI workloads at scale.

The role covers multi-node GPU systems, CUDA and CUDA-X libraries, and the full NVIDIA platform; travel is involved, but you will also leverage conferencing tools to enable customers and advance research outcomes.