Senior AI Cloud Solutions Architect — Remote

NVIDIA Corporation; New York (NY); À distance; USD 152 000 - 242 000; Plein temps

Avantages offerts par ce poste

Equity

Benefits

Remote-friendly

Résumé du poste

NVIDIA Corporation is seeking an experienced Solutions Architect to help customers adopt GPU hardware and software across cloud platforms. The role involves building ML/DL/data analytics solutions, PoCs, and collaborating with Sales and Engineering to align product strategy.

You should have 4+ years in solutions engineering, strong Python and GPU know-how, and hands-on experience with Docker/Kubernetes and cloud environments (AWS/GCP/Azure/OCI). Remote work is supported.

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
• 4+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
• Experience deploying AI/ML solutions in cloud environments (AWS, GCP, Azure, OCI).
• Knowledge of DevOps/MLOps technologies such as Docker/containers and Kubernetes.
• Strong communication and time-management skills.

Responsabilités

• Work with cloud providers to develop and demonstrate NVIDIA-based solutions.
• Build and deploy AI/ML solutions on cloud-based GPU platforms.
• Create PoCs addressing customer needs using NVIDIA hardware/software.
• Present technical content and workshops to customers and stakeholders.

Connaissances

Python

GPU systems

DevOps/MLOps

Architectural design

Communication

Formation

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields

Outils

Docker

Kubernetes

CUDA

Triton

TensorRT-LLM

Description du poste

NVIDIA Corporation is seeking an experienced Solutions Architect to help customers adopt GPU hardware and software across cloud platforms. The role involves building ML/DL/data analytics solutions, PoCs, and collaborating with Sales and Engineering to align product strategy.

You should have 4+ years in solutions engineering, strong Python and GPU know-how, and hands-on experience with Docker/Kubernetes and cloud environments (AWS/GCP/Azure/OCI). Remote work is supported.