Solutions Architect - Cloud AI
NVIDIA
Job Overview
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Job Description
Overview
We are excited to announce an opening for a Cloud Solution Architect at NVIDIA. We are looking for a passionate individual with a strong interest in AI and machine learning, ready to push the boundaries of cloud scale AI.
What You'll Be Doing
- Serve as the go-to technical expert on NVIDIA products.
- Architect and optimize GPU solutions for AI services.
- Collaborate with engineering teams to secure design wins and address challenges.
- Develop reference architectures and best practices for Microsoft AI workloads on NVIDIA infrastructure.
What We Need To See
- 4+ years of experience in cloud computing and/or large-scale AI systems.
- Bachelor's degree in EE, CS, Math, or Physics, or equivalent experience.
- Proficiency in Python, C, or C++ and familiarity with AI frameworks like Pytorch or TensorFlow.
- Strong interpersonal skills with the ability to explain complex technical topics to non-experts.
Ways To Stand Out From The Crowd
- Demonstrated contributions on GitHub related to large language models and transformer architectures.
- Knowledge of Azure cloud and AzureML services.
- Experience with CUDA programming and optimization.
- Familiarity with NVIDIA networking technologies such as Infiniband.
- Proficiency in Linux, Windows Subsystem for Linux, and Windows.
Compensation & Benefits
Your base salary will be determined based on location, experience, and comparable pay in similar positions. The range is 152,000 USD - 241,500 USD for Level 3 and 184,000 USD - 287,500 USD for Level 4, plus equity and benefits.
Additional Information
This posting is for an existing vacancy. Applications accepted until February 16, 2026. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.
Key skills/competency
- Cloud Computing
- AI
- Machine Learning
- GPU Solutions
- Python
- C/C++
- Pytorch
- TensorFlow
- Azure
- CUDA
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, and recent news.
- Customize your resume: Highlight cloud and AI project experience.
- Showcase technical skills: Emphasize NVIDIA product expertise.
- Prepare for interviews: Review case studies and technical questions.
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