Cloud Solutions Architect @ NVIDIA
placeHybrid
attach_money $190,000
businessHybrid
scheduleFull Time
Posted 18 hours ago
Your Application Journey
Interview
Email Hiring Manager
***** @nvidia.com
Recommended after applying
Job Details
Overview
NVIDIA is seeking a passionate Cloud Solutions Architect to work on large-scale GPU infrastructure and AI Factory deployments. In this role, you will deploy resilient, telemetry-driven AI compute environments and collaborate with engineering teams.
What You'll Be Doing
- Serve as a technical expert on NVIDIA AI Factory solutions and GPU infrastructure.
- Collaborate with engineering teams for design wins and production deployments.
- Advise clients, translate requirements, and optimize scalable workloads.
- Develop robust tooling for observability and failure recovery.
What We Need To See
- 2+ years in cloud infrastructure engineering or GPU cluster deployment.
- BS in Computer Science, Engineering, Mathematics, Physics or equivalent.
- Understanding of multi-node GPU clusters, networking and distributed storage.
- Experience in infrastructure-as-code, automation, and configuration management.
- A passion for machine learning, AI, and continuous learning.
Ways To Stand Out
- Expertise in orchestration tools such as Slurm, Kubernetes, or Run:ai.
- Knowledge of AI training instrumentation and distributed training frameworks.
- Design telemetry systems and failure recovery mechanisms.
- Experience with cloud-native solutions on AWS, Azure or Google Cloud.
- Familiarity with high-performance networking and NVIDIA InfiniBand technologies.
Compensation & Benefits
Base salary is determined based on location and experience. Compensation packages include equity and attractive benefits.
Key Skills/Competency
Cloud, GPU, Infrastructure, AI, Observability, Telemetry, Automation, Kubernetes, AWS, Networking
How to Get Hired at NVIDIA
🎯 Tips for Getting Hired
- Customize your resume: Highlight cloud infrastructure and AI experience.
- Showcase technical skills: Detail your GPU and automation projects.
- Research NVIDIA culture: Study their mission and innovative projects.
- Prepare for interviews: Practice explaining complex tech concepts simply.
📝 Interview Preparation Advice
Technical Preparation
circle
Review GPU cluster architectures and protocols.
circle
Practice infrastructure-as-code scripting.
circle
Familiarize with Kubernetes and orchestration tools.
circle
Study cloud-native deployment best practices.
Behavioral Questions
circle
Describe a complex problem you solved.
circle
How do you prioritize competing tasks?
circle
Explain a project with client collaboration.
circle
Discuss adapting to fast-paced changes.
Frequently Asked Questions
What experience is needed for the NVIDIA Cloud Solutions Architect role?
keyboard_arrow_down
Does NVIDIA require a specific educational background for this role?
keyboard_arrow_down
What technical skills will help in securing the Cloud Solutions Architect position at NVIDIA?
keyboard_arrow_down
What makes NVIDIA an attractive employer for cloud infrastructure professionals?
keyboard_arrow_down
How important is client interaction for the NVIDIA Cloud Solutions Architect role?
keyboard_arrow_down