Cloud Solutions Architect @ NVIDIA
placeSanta Clara, CA
attach_money $150,000
businessOn Site
scheduleFull Time
Posted 18 hours ago
Your Application Journey
Interview
Email Hiring Manager
******* @nvidia.com
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Job Details
About the Cloud Solutions Architect Role
Join NVIDIA as a Cloud Solutions Architect, focusing on large-scale GPU infrastructure and AI Factory deployments. In this role, you'll work with innovative teams to architect and deploy resilient AI compute environments at scale.
What You'll Be Doing
- Serve as the go-to technical expert on NVIDIA AI Factory solutions.
- Architect and deploy resilient, telemetry-driven AI compute environments.
- Collaborate with engineering teams for design wins and challenge resolution.
- Develop robust tooling for observability, failure recovery, and performance optimization.
- Advise clients on optimizing cloud environments and scaling high-performance workloads.
What We Need To See
- 2+ years experience in large-scale cloud infrastructure or GPU cluster management.
- Degree in Computer Science, Electrical Engineering, Mathematics, Physics or equivalent.
- Strong understanding of multi-node GPU clusters, high-performance networking, and distributed storage.
- Familiarity with infrastructure-as-code, automation, and configuration management.
- Passion for machine learning and continuous learning of new technologies.
- Excellent interpersonal skills to explain complex topics to non-experts.
Ways To Stand Out
- Expertise with orchestration tools like Slurm, Kubernetes, or Run:ai.
- Experience in AI training and inference performance optimization.
- Proven ability to design telemetry systems and failure recovery mechanisms.
- Hands-on with cloud-native solutions on AWS, Azure, or Google Cloud.
- Deep knowledge of high-performance networking technologies including NVIDIA InfiniBand.
Compensation and Benefits
Salary is determined by experience and location. You may be eligible for equity and benefits.
Key skills/competency
- Cloud Infrastructure
- GPU Clusters
- AI Factory
- Observability
- Automation
- Telemetry
- Networking
- Configuration Management
- Orchestration
- Failure Recovery
How to Get Hired at NVIDIA
🎯 Tips for Getting Hired
- Customize your resume: Highlight cloud infrastructure and AI expertise.
- Research NVIDIA: Understand their culture and projects.
- Prepare technical answers: Review GPU and orchestration systems.
- Practice behavioral responses: Emphasize teamwork and problem solving.
📝 Interview Preparation Advice
Technical Preparation
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Review cloud infrastructure best practices.
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Practice automation and configuration management.
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Study GPU clustering and high-performance networking.
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Familiarize with orchestration tools like Kubernetes.
Behavioral Questions
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Describe recent teamwork challenges overcome.
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Explain your conflict resolution approach.
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Discuss learning from project failures.
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Share how you adapt to change.
Frequently Asked Questions
What experience does NVIDIA require for a Cloud Solutions Architect?
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How does NVIDIA evaluate expertise in large-scale GPU infrastructure?
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What technical skills are essential for the Cloud Solutions Architect at NVIDIA?
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How important is client advisory in this NVIDIA role?
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Is there flexibility in cloud service providers for this role at NVIDIA?
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