Senior AI Solutions Architect: Multimodal & Physical AI

NVIDIA Gruppe; Zürich; Vor Ort; CHF 120.000 - 190.000; Vollzeit

Zusammenfassung

NVIDIA is seeking a Solutions Architect to collaborate with academia and research partners. You will be the primary technical contact, engaging researchers and developers to drive adoption of NVIDIA technology, focusing on Multimodal AI and Physical AI on multi-node GPU systems.

Travel ~20% of time to deliver hands-on trainings, workshops, and demonstrations, while staying current across NVIDIA's platform including CUDA, Megatron, NeMo, TensorRT, and MONAI.

Qualifikationen

• Graduate degree in STEM or equivalent experience.
• 5+ years in multimodal AI lifecycle on multi-node GPU systems.
• Strong collaboration with academic researchers and stakeholders.
• Excellent communication and organizational skills.
• Fluent in English and comfortable with Python.

Aufgaben

• Partner with leading research labs to drive joint projects at scale.
• Integrate NVIDIA frameworks and core software into research workloads.
• Deliver trainings, workshops, and demonstrations across platforms.
• Track trends and provide feedback to engineering teams.
• Maintain deep expertise across GPUs, CPUs, networking, and software.

Kenntnisse

Python

English fluency

Research collaboration

Multimodal AI

Presentation skills

Ausbildung

Master’s degree or PhD in STEM

Tools

CUDA/CUDA-X

Megatron for multimodal training

TensorRT

MONAI

NeMo Framework

Jobbeschreibung

NVIDIA is seeking a Solutions Architect to collaborate with academia and research partners. You will be the primary technical contact, engaging researchers and developers to drive adoption of NVIDIA technology, focusing on Multimodal AI and Physical AI on multi-node GPU systems.

Travel ~20% of time to deliver hands-on trainings, workshops, and demonstrations, while staying current across NVIDIA's platform including CUDA, Megatron, NeMo, TensorRT, and MONAI.