# Solution Architect

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

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Remote/Solutions-Architect--CSP-GTM_JR2025076?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_27f369d5-b29

## Description

NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Physical AI, Agentic AI, Data Science applications, and Machine Learning (ML) to work with hyperscaler partners.

As a Solutions Architect, you will be the first line of technical expertise between NVIDIA, our hyperscaler partners, and our end-customers. You will work with the latest NVIDIA technologies coupled with the most advanced CSP infrastructures, changing the way people interact with technology.

**Responsibilities:**

- Develop and demonstrate Physical AI solutions based on hyperscalers and NVIDIA's pioneering software and hardware technologies to developers

- Work directly with key customers and our hyperscaler partners to understand their challenges and provide the best solutions based on NVIDIA products

- Perform in-depth analysis and optimization to ensure the best performance on GPU-accelerated systems using NVIDIA software platform

- Partner with Engineering, Product, and Sales teams to understand developer's challenges and plan for the best suitable solutions

- Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures

**Requirements:**

- MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields

- 5+ years in Solutions Architecture/Engineering in AI-related domains

- Excellent ability to listen, both verbal and written communication skills, and being comfortable with presenting technical solutions in English

- Expertise with Physical AI solutions on hyperscaler infrastructure

- A proven track record of academic and/or industry experience in fields related to machine learning, deep learning, and/or data science

**Preferred Qualifications:**

- Background with Physical AI solutions and offerings using hyperscaler platforms

- Experience running and optimizing large-scale distributed DL training, optimizing inference pipeline, using a range of inferencing techniques

- Background with working with larger transformer-based architectures

- Expertise in DevOps technologies such as Docker, Kubernetes, Singularity, etc.

## Skills

### Required
- Physical AI
- Agentic AI
- Data Science
- Machine Learning
- GPU-accelerated systems
- NVIDIA software platform

### Nice to have
- DevOps
- Docker
- Kubernetes
- Singularity
- transformer-based architectures

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Remote/Solutions-Architect--CSP-GTM_JR2025076?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)