# Senior Solutions Architect, Higher Education and Research, Multimodal and Physical AI

**Company**: NVIDIA
**Location**: Munich
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Senior-Solutions-Architect--Higher-Education-and-Research--Multimodal-and-Physical-AI_JR2024875?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_abbc2c38-258

## Description

NVIDIA is seeking a Senior Solutions Architect to work with academia and research partners. The successful candidate will combine an intricate understanding of Multimodal AI and Physical AI with expertise in accelerated computing and architecture.

**Job Summary:** As a Solutions Architect, you will partner directly with leading research labs, researchers, and university faculty as a trusted technical advisor. You will develop a keen understanding of their scientific goals and drive joint research projects at supercomputing scale.

**Key Responsibilities:**

- Partner with leading research labs, researchers, and university faculty to 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.

- Advocate for accelerated computing, robotics, Multimodal AI and Physical AI, and deliver hands-on trainings, workshops, lectures and demonstrations across NVIDIA's platforms.

- 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 or equivalent experience.

- 5+ years across the multimodal and world model lifecycle on multi-node GPU systems.

- Strong collaboration and communication skills, with the ability to build relationships with academic and research stakeholders.

- 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.

**Nice to Have:**

- A PhD from a leading university in a STEM related discipline, with 3+ years of research in the domain.

- A track record of thought leadership: high-impact publications, talks at academic conferences and workshops.

- Experience with NVIDIA's stack for visual and multimodal AI, built on CUDA and CUDA-X.

**Travel:** As a Solutions Architect, there is travel involved (20% of the working time).

## Skills

### Required
- Multimodal AI
- Physical AI
- accelerated computing
- architecture
- Python
- CUDA
- CUDA-X

### Nice to have
- PhD in STEM
- research experience
- thought leadership
- NVIDIA's stack for visual and multimodal AI

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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--Multimodal-and-Physical-AI_JR2024875?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)