Senior AI Solutions Architect
Tasks
- Adopt NVIDIA libraries and software frameworks
- Advise developers and customers
- Analyze application architectures for acceleration opportunities
- Assess data pipelines models compute networking and orchestration
- Collaborate with engineering, product, and research teams
- Deliver trainings hackathons and technical demonstrations
- Design prototype and build AI ML solutions for customers
- Embed NVIDIA software into architectures and workflows
- Improve application performance
- Increase developer productivity
- Support business development and sales
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CUDA | Containers | Data Pipelines | Deep learning | Distributed Systems | Distributed Training | GPU Distributed Systems | Generative AI | GitHub | Kubernetes | Language Processing | Large-scale | Large-scale inference | Machine Learning | Model Deployment | Natural Language | Natural Language Processing | Networking | Numerical libraries | OneAPI | OpenCL | Orchestration | PCIe | PyTorch | Python | TensorFlow | Version control
Education
Roles
AI | AI Solutions | AI Solutions Architect | Architect | Solution Architect | Solutions Architect
Regions
Countries
States
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