Senior AI Inference Solutions Architect — Scale Deployments

NVIDIA Corporation; United States; Hybrid; USD 150,000 - 230,000; Full time

Job summary

NVIDIA Corporation seeks a Senior Solutions Architect to define the technical direction for AI inference across EMEA, driving scalable deployment strategies. You will lead engagements from proof of concept to production, identify bottlenecks, and architect high-performance inference pipelines using NVIDIA technologies.

You will collaborate with customers and internal teams, translating insights into product feedback while managing complex deployments.

Qualifications

• MS or PhD in Computer Science, Engineering, or equivalent experience.
• 8+ years in AI/ML infrastructure with production deployment experience.
• Deep understanding of transformer inference acceleration techniques.
• Knowledge of GPU memory hierarchies and low-latency networking.
• Proven track record in leading technical initiatives.
• Excellent communication with researchers, engineers and executives.

Responsibilities

• Lead inference strategy for a portfolio of EMEA AI Native customers from PoC to production.
• Identify latency, efficiency, and memory bottlenecks across deployments.
• Architect and optimize high-performance inference pipelines using NVIDIA stack.
• Translate deployment patterns into roadmap feedback for NVIDIA products.

Skills

LLM/VLM inference optimization

Production deployment at scale

Technical leadership

Communication with researchers & execs

Education

MS or PhD in Computer Science/Engineering

Tools

NVIDIA TensorRT-LLM

NVIDIA Dynamo

vLLM

SGLang

NIM

Kubernetes

Job description

NVIDIA Corporation seeks a Senior Solutions Architect to define the technical direction for AI inference across EMEA, driving scalable deployment strategies. You will lead engagements from proof of concept to production, identify bottlenecks, and architect high-performance inference pipelines using NVIDIA technologies.

You will collaborate with customers and internal teams, translating insights into product feedback while managing complex deployments.