Multimodal AI Solutions Architect for Research & Education

NVIDIA Corporation; Zürich; Híbrido; CHF 110.000 - 140.000; Jornada completa

Descripción de la vacante

NVIDIA Corporation is seeking a Solutions Architect to collaborate with academia and research partners in Zürich. You will drive joint research projects, integrate NVIDIA frameworks into research work, and deliver hands-on trainings and demonstrations across platforms.

The role requires fluency in English, strong collaboration, and in-depth knowledge of multimodal and physical AI on multi-node GPU systems. Expect up to 20% travel; a graduate STEM degree or PhD is valued, with expertise spanning

Formación

• Graduate degree in STEM or equivalent experience.
• 5+ years in multimodal and world model lifecycle on multi-node GPU systems.
• Strong collaboration and communication with researchers and stakeholders.
• Action oriented, analytical, self-motivated with strong organization.
• Fluent in English and proficient in Python.

Responsabilidades

• Partner with labs and researchers to drive joint research projects at supercomputing scale.
• Identify workloads and integrate NVIDIA frameworks into research projects.
• Advocate for accelerated computing and deliver trainings and demonstrations across NVIDIA platforms.
• Track emerging research trends and convert gaps into prototypical solutions.
• Maintain deep expertise across GPUs, CPUs, networking, and software.

Conocimientos

Multimodal AI

Collaboration

Communication

Python

Analytical

Public speaking

Educación

Graduate degree in STEM

PhD (preferred)

Herramientas

CUDA

Megatron

TensorRT

NeMo Framework

MONAI

Cosmos models

Isaac platform

Descripción del empleo

NVIDIA Corporation is seeking a Solutions Architect to collaborate with academia and research partners in Zürich. You will drive joint research projects, integrate NVIDIA frameworks into research work, and deliver hands-on trainings and demonstrations across platforms.

The role requires fluency in English, strong collaboration, and in-depth knowledge of multimodal and physical AI on multi-node GPU systems. Expect up to 20% travel; a graduate STEM degree or PhD is valued, with expertise spanning