Solutions Architect - Cloud AI
NVIDIA
Job Overview
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Job Description
About the Solutions Architect - Cloud AI Role at NVIDIA
We are seeking a passionate individual with a strong interest in AI and machine learning to join our cloud solutions team. In this role, you will be the key technical expert on NVIDIA's products, helping clients architect and optimize GPU solutions for AI services.
What You Will Be Doing
- Serve as the technical expert on NVIDIA products.
- Collaborate with engineering teams for production deployment.
- Advise clients and develop reference architectures.
- Address challenges and support projects throughout their lifecycle.
What We Need To See
- 4+ years in cloud computing and/or large-scale AI systems.
- Bachelor's degree in EE, CS, Math, Physics or equivalent.
- Proficient in Python, C, or C++ and AI frameworks like PyTorch or TensorFlow.
- Strong interpersonal skills for explaining technical topics.
Ways To Stand Out
- Recent contributions to projects on GitHub related to large language models.
- Knowledge of Azure cloud and AzureML services.
- Experience in CUDA programming and optimization.
- Familiarity with NVIDIA networking technologies such as Infiniband.
- Proficiency in Linux and Windows environments.
Compensation & Benefits
Base salary ranges are provided based on level. Additionally, equity and benefits are offered.
Application Details
This position is open until February 16, 2026. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. AI tools are used in our recruiting processes.
Key Skills/Competency
- Cloud Computing
- AI
- Machine Learning
- GPU Solutions
- Python
- C/C++
- TensorFlow
- PyTorch
- Reference Architectures
- Client Advisory
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study mission, values, and recent news.
- Customize your resume: Highlight cloud and AI experience.
- Tailor your skills: Emphasize Python, C/C++, and AI frameworks.
- Prepare examples: Showcase projects on GitHub and technical contributions.
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