NVIDIA is building the world’s leading AI company, and we are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software, as well as building and deploying Machine Learning (ML) , Deep Learning (DL), data analytics solutions on various Cloud Computing Platforms.
Requirements
- 3+ Years in Solutions Architecture with a proven track record of moving AI inference from POC to production in cloud computing environments including AWS, GCP, or Azure
- 3+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow
- Excellent knowledge of the theory and practice of LLM and DL inference
- Strong fundamentals in programming, optimizations, and software design, especially in Python
- Experience with containerization and orchestration technologies like Docker and Kubernetes, monitoring, and observability solutions for AI deployments
- Knowledge of Inference technologies - NVIDIA NIM, TensorRT-LLM, Dynamo, Triton Inference Server, vLLM, etc
- Proficiency in problem-solving and debugging skills in GPU environments
Responsibilities
- Help cloud customers craft, deploy, and maintain scalable, GPU-accelerated inference pipelines on cloud ML services and Kubernetes for large language models (LLMs) and generative AI workloads.
- Enhance performance tuning using TensorRT/TensorRT-LLM, vLLM, Dynamo, and Triton Inference Server to improve GPU utilization and model efficiency.
- Collaborate with multi-functional teams (engineering, product) and offer technical mentorship to cloud customers implementing AI inference at scale.
- Build custom PoCs for solution that address customer’s critical business needs applying NVIDIA hardware and software technology
- Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions
- Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
- Conduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies.
Other
- occasional travel is required for local on-site visit to customers and industry events.
- If you're creative and autonomous, we want to hear from you!
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- Applications for this job will be accepted at least until October 21, 2025.
- NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
