# Senior Solutions Architect, Higher Education and Research, AI and HPC

**Company**: NVIDIA
**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--AI-and-HP_JR2024876?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d4af469f-0e0

## Description

NVIDIA is seeking a Senior Solutions Architect to work with academia and research partners. The ideal candidate will combine an intricate understanding of high-performance computing and scientific computing, and of how AI methods are reshaping both, with expertise in accelerated computing and architecture.

**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 AI methods for scientific discovery, 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 or equivalent experience.

- 5+ years in the intersection of HPC and AI, running scientific workloads at scale on multi-node GPU systems and applying machine learning to the same problems.

- 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.

**Nice to Have:**

- A PhD from a leading university in a STEM related discipline, with 3+ years of research in computational science in combination with AI.

- 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.

## Skills

### Required
- HPC
- AI
- accelerated computing
- architecture
- Python

### Nice to have
- PhD in STEM
- research in computational science
- 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--AI-and-HP_JR2024876?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)