# Solutions Architect, CSP GTM

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

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/France-Remote/Solutions-Architect--CSP-GTM_JR2022659?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_dbd06ebc-276

## Description

NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Generative AI, Data Science applications and Machine Learning (ML) to work with our 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 be working with the latest NVIDIA technologies coupled with the most advanced CSP infrastructures, changing the way people interact with technology.

**Responsibilities:**

- Develop and demonstrate solutions based on Hyperscalers and NVIDIA's pioneering GenAI software and hardware technologies to developers

- Work directly with key customers and our Hyperscalers 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:**

- 5+ years of Solutions Architect/Engineering or similar experience in AI-related fields

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

- Expertise in deploying large-scale training and inferencing pipeline on Hyperscaler's infrastructure, with a focus on GCP

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

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

**Nice to Have:**

- Background with Hyperscaler platforms such as GCP

- Experience running and optimizing large scale distributed DL training

- Experience optimizing inference pipeline, using a range of inferencing technics

- Background with working with larger transformer-based architectures

- Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

## Skills

### Required
- Generative AI
- Data Science
- Machine Learning
- Hyperscaler platforms
- GPU-accelerated systems
- NVIDIA software platform

### Nice to have
- GCP
- DevOps technologies
- 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/France-Remote/Solutions-Architect--CSP-GTM_JR2022659?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)