Solutions Architect - Cloud AI
NVIDIA
Job Overview
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Job Description
About the Role
We are excited to announce an opening for a Cloud Solution Architect at NVIDIA. This individual will play a key role in our cloud solutions team, helping clients architect and optimize GPU solutions for AI services.
What You'll Be Doing
- Serve as technical expert on NVIDIA products.
- Collaborate with engineering teams for design wins and project support.
- Advise clients with reference architectures and best practices.
- Develop solutions for Microsoft AI workloads on NVIDIA infrastructure.
What We Need To See
- 4+ years in cloud computing or large-scale AI systems.
- Bachelor’s in EE, CS, Math, Physics, or equivalent experience.
- Proficiency in Python, C, or C++ and familiarity with Pytorch or TensorFlow.
- Strong passion for machine learning and AI with continuous learning drive.
- Excellent interpersonal skills to explain complex topics simply.
Ways To Stand Out
- Recent contributions on GitHub related to large language models.
- Knowledge of Azure cloud and AzureML services.
- Experience with CUDA programming and optimization.
- Familiarity with NVIDIA networking technologies such as Infiniband.
- Experience with Linux and Windows environments.
Compensation & Benefits
Base salary will be determined by location and experience. Salary ranges from 152,000 USD to 287,500 USD depending on level. Equity and additional benefits are also provided.
Application Details
Applications accepted until February 16, 2026. NVIDIA uses AI in its recruiting process and is committed to a diverse and equal opportunity environment.
Key skills/competency
- Cloud Computing
- AI
- GPU Solutions
- Machine Learning
- Python
- C/C++
- Reference Architectures
- Azure
- CUDA
- Linux
How to Get Hired at NVIDIA
- Customize your resume: Emphasize cloud and AI experience.
- Research NVIDIA: Study products and recent projects.
- Highlight technical skills: Showcase Python and AI frameworks.
- Prepare for interviews: Practice technical and behavioral questions.
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