NIM Solution Architect

Responsibilities

• Drive the implementation, deployment, and optimization of NVIDIA Inference Microservices (NIM) solutions for enterprise and industry AI workloads.
• Package and serve open-source, NVIDIA, and customer-proprietary models through NIM with standardized, containerized APIs for on-premises, cloud, and hybrid environments.
• Optimize high-volume inference and rollout workloads for LLMs and VLMs.
• Evaluate and tune the NIM models.
• Deliver technical projects, demos and client support tasks as directed by the Solution Architecture Leadership.
• Provide technical support and guidance to customers, facilitating the adoption and implementation of NVIDIA technologies and products.
• Collaborate with cross-functional teams to enhance and expand our AI solutions portfolio.
• What we need to see
• Master’s degree or higher in Computer Science, Machine Learning, Electrical Engineering, Mathematics, or a related technical field, or equivalent experience.
• 2+ years of hands-on experience in machine learning engineering, applied research, LLM/VLM inference, or RL rollout.

Languages