# Solutions Architect

**Company**: NVIDIA
**Location**: Munich, Germany
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Senior-Solutions-Architect--Higher-Education-and-Research---Open-Models-and-LLM_JR2028972?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ed38f550-4bf

## Description

NVIDIA is seeking a Solutions Architect to work with academia and research partners. As a Solutions Architect, you will be the primary technical contact for customers and engage deeply with researchers and application developers to drive the adoption of NVIDIA technology.

**Responsibilities:**

- Partner directly with leading research labs, researchers, and university faculty as a trusted technical advisor: develop a keen understanding of their scientific goals and drive joint research projects at supercomputing scale.

- Identify and accelerate high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects, and help researchers amplify their impact through publications, conference presentations, and technical content.

- Advocate for accelerated computing and Deep Learning, and deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA's platforms, and mentor power users to become NVIDIA champions.

- Track emerging research trends and turn gaps between researcher needs and NVIDIA's offerings into prototypical solutions and direct feedback to NVIDIA Engineering.

- Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and software

**Requirements:**

- A graduate degree from a leading university in a STEM related discipline.

- 5+ years of hands-on experience running the large language model lifecycle across multi-node systems: training, fine-tuning, inference, serving, and/or agentic workflows.

- Strong collaboration and communication skills, with the ability to build relationships with academic and research stakeholders, and to communicate complex ideas clearly to both expert and non-expert audiences.

- Action oriented, analytical, self-motivated, and a passionate learner, with excellent organization skills to work in a heavily multi-tasked environment.

- Fluent in English, both oral and written, and comfortable working in Python.

**Preferred Qualifications:**

- A PhD from a leading university in a STEM related discipline, with 3+ years of research on large language models or foundation models and their applications.

- A track record of thought leadership: high-impact publications, talks at academic conferences and workshops, as well as good understanding of scientific policy engagement, grant processes, or national/European research program structures.

- Experience with NVIDIA's AI software stack, powered by CUDA and CUDA-X libraries, e.g. NVIDIA AI Enterprise, NeMo Framework, Megatron Bridge, NIM, TensorRT-LLM, Dynamo, NeMo Agent Toolkit, and Triton Inference Server, as well as the Nemotron open-model methodology.

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## Skills

### Required
- Python
- CUDA
- Deep Learning
- Accelerated Computing
- Large Language Models

### Nice to have
- PhD in STEM
- NVIDIA AI software stack
- Thought Leadership

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Senior-Solutions-Architect--Higher-Education-and-Research---Open-Models-and-LLM_JR2028972?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)