# Solutions Architect, Graduate Program

**Company**: NVIDIA
**Location**: Courbevoie
**Experience**: entry
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/France-Courbevoie/Solutions-Architect--Graduate-Program_JR2022441?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b5072c5d-0a8

## Description

NVIDIA is looking for a Solutions Architect to join its graduate program. As a new college graduate, you will be part of a rotation program that will team you up with experienced Solution Architects for on-the-job training. You will work as part of a team supporting customers building solutions with NVIDIA's newest software and hardware platforms.

You will spend up to 16 months rotating through customer-facing teams supporting different industries such as healthcare, retail, automotive, robotics, etc. You will have the opportunity to become a specialist in NVIDIA's enterprise products as well as developer software platforms such as NVIDIA AI Enterprise, CUDA-X, and Omniverse.

Responsibilities:

- Engage with customers in academia and industry to understand their technical environment and challenges, design tailored NVIDIA-powered solutions that address their needs and demonstrate value, and gain hands-on field experience through customer visits and on-site engagements across EMEA.

- Be the catalyst driving the adoption and scaling of cutting-edge AI solutions by delivering hands-on workshops, demonstrations, and training sessions using NVIDIA hardware and software, empowering users to become NVIDIA champions.

- Take ownership of proof-of-concept implementations that showcase NVIDIA's capabilities in real customer environments, driving product adoption through technical evaluation, documentation, and handoff into production IT infrastructures.

- Collaborate with Sales Account Managers, Developer Relations Managers, and Customers as a trusted technical advisor, helping large enterprises understand the value of NVIDIA and painting the vision for how they can successfully integrate and deploy our solutions, and securing design wins.

- Identify gaps between customer needs and NVIDIA's current offerings, propose and develop prototypical solutions, and communicate requirements directly to NVIDIA Engineering, turning front-line field insights into product improvements that shape our roadmap.

Requirements:

- Newly graduating with a MS (or equivalent degree) in Computer Science, Engineering, or related field.

- Coursework in Machine Learning, High-Performance Computing, Deep Learning & AI, Data Science or Visual Computing.

- Skilled in 1 or more programming languages (Python, C/C++, etc.).

- Self-driven and analytical, with a natural curiosity for customer problems and the confidence to engage both technical and business audiences.

- Strong collaboration and interpersonal skills, ability to explain technical trade-offs clearly to both technical and non-technical audiences, fluent in English both oral and written.

- Passion for continuous learning and knowledge transfer.

Nice to have:

- Experience with Deep Learning frameworks, AI harnesses, GPU programming (e.g. CUDA) and/or 3D (i.e. 3D Visualization, Digital Twin, Physical AI concepts and tools).

- Passion for accelerated computing, skills in profiling, analyzing and optimizing code, and/or understanding of system architecture and operations in distributed and cloud computing, networking, filesystems, virtualization (e.g. Docker), system and workload management (e.g. Slurm, Kubernetes), etc.

- Outstanding verbal and written communication skills, and an enthusiastic presentation style.

## Skills

### Required
- Computer Science
- Engineering
- Machine Learning
- High-Performance Computing
- Deep Learning
- AI
- Data Science
- Visual Computing
- Python
- C/C++

### Nice to have
- Deep Learning frameworks
- AI harnesses
- GPU programming
- 3D Visualization
- Digital Twin
- Physical AI concepts and tools
- accelerated computing
- profiling
- analyzing and optimizing code
- system architecture
- distributed and cloud computing
- networking
- filesystems
- virtualization
- system and workload management

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/France-Courbevoie/Solutions-Architect--Graduate-Program_JR2022441?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)