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

**Company**: NVIDIA
**Location**: Zurich
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Switzerland-Zurich/Senior-Solutions-Architect--Higher-Education-and-Research--Multimodal-and-Physical-AI_JR2024873?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4462d5b8-8d7

## Description

NVIDIA is looking for a Senior Solutions Architect to work with academia and research partners. The successful candidate will be a primary technical contact for customers, engaging deeply with researchers and application developers to drive the adoption of NVIDIA technology.

**Key Responsibilities:**

- Partner 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

- Help researchers amplify their impact through publications, conference presentations, and technical content

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

- 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 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, as well as good understanding of scientific policy engagement, grant processes, or national/European research program structures

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

## Skills

### Required
- Multimodal AI
- Physical AI
- accelerated computing
- GPU systems
- Python
- CUDA
- CUDA-X

### Nice to have
- PhD in STEM
- research experience
- thought leadership
- scientific policy engagement
- grant processes

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Switzerland-Zurich/Senior-Solutions-Architect--Higher-Education-and-Research--Multimodal-and-Physical-AI_JR2024873?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)