Solutions Architect - Cloud AI
NVIDIA
Job Overview
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Job Description
What You'll Be Doing
As a key member of the cloud solutions team at NVIDIA, you will be the go-to technical expert on NVIDIA's products. You will help clients architect and optimize GPU solutions for AI services, collaborate with engineering teams to secure design wins, address challenges, usher projects into production, and support the entire project lifecycle.
What We Need To See
You should have 4+ years of experience in cloud computing and/or large-scale AI systems, hold a BS in EE, CS, Math, or Physics (or equivalent experience) and demonstrate proficiency in Python, C, or C++ along with familiarity with AI frameworks such as Pytorch or TensorFlow. Excellent interpersonal skills to explain complex technical issues to non-experts are essential.
Ways To Stand Out From The Crowd
Recent projects or contributions on platforms like GitHub, knowledge of Azure cloud and AzureML services, experience with CUDA programming, familiarity with NVIDIA networking technologies such as Infiniband, and proficiency in Linux, Windows Subsystem for Linux, and Windows will set you apart.
Key skills/competency
- Cloud Computing
- AI
- Machine Learning
- GPU Architecture
- Python
- C/C++
- Reference Architectures
- Azure
- CUDA
- Linux
How to Get Hired at NVIDIA
- Customize your resume: Tailor skills to NVIDIA's cloud technologies.
- Research NVIDIA: Understand AI, GPU and cloud trends.
- Showcase projects: Highlight GitHub contributions and real-world implementations.
- Prepare for technical interviews: Review cloud design and AI frameworks.
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