AI Research Solutions Architect — Open Models & LLMs

NVIDIA; Courbevoie; Sur place; EUR 120 000 - 150 000; Plein temps

Résumé du poste

NVIDIA is seeking a Solutions Architect to collaborate with academia and research partners in Courbevoie, France. You will serve as a technical advisor, shaping research workloads and accelerating the adoption of NVIDIA’s AI and HPC platforms.

The role requires a graduate degree in STEM, 5+ years of LLM lifecycle experience, strong communication with researchers, and fluency in English with Python proficiency. Travel up to 30% is expected.

Qualifications

• Graduate degree in STEM from a leading university.
• 5+ years of hands-on LLM lifecycle experience across multi-node systems.
• Excellent collaboration with academic and research stakeholders.
• Strong analytical, organized, and multi-tasking skills.
• Fluent in English and proficient in Python.

Responsabilités

• Partner with research labs and universities as a technical advisor.
• Identify and accelerate high-impact workloads by integrating NVIDIA frameworks into research projects.
• Deliver trainings, workshops, and demonstrations across NVIDIA platforms.
• Translate researcher needs into prototypical solutions and provide direct feedback to Engineering.
• Maintain deep domain expertise across GPUs, CPUs, networking, and software.

Connaissances

Python

English

LLM lifecycle

Academia collaboration

Hands-on training

Prototyping

Formation

Graduate degree in STEM

PhD in STEM (advantage)

Outils

CUDA

CUDA-X libraries

TensorRT-LLM

Triton Inference Server

NeMo Framework

Megatron Bridge

NIM

NeMo Agent Toolkit

Dynamo

Description du poste

NVIDIA is seeking a Solutions Architect to collaborate with academia and research partners in Courbevoie, France. You will serve as a technical advisor, shaping research workloads and accelerating the adoption of NVIDIA’s AI and HPC platforms.

The role requires a graduate degree in STEM, 5+ years of LLM lifecycle experience, strong communication with researchers, and fluency in English with Python proficiency. Travel up to 30% is expected.