Senior Generative AI Solutions Architect

NVIDIA AI; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in California seeks an experienced AI Solutions Architect to guide customers building with the latest AI tech, focusing on inference for Generative AI and LLMs. You will advise across teams and help design high-value, scalable solutions using NVIDIA platforms.

You’ll work with DL frameworks, GPUs, and MLOps tooling to optimize performance, power efficiency, and deployment of AI workloads, with occasional travel up to 20%.

Qualifications

• BS, MS, or PhD in CS, EE, Physics, Math or related field.
• 8+ years of hands-on experience with PyTorch and TensorFlow.
• Strong programming, optimization and software design, Python-focused.
• Experience with GPU orchestration and MIG management in Kubernetes.
• Experience with containerization and orchestration, monitoring and observability for AI deployments.
• Excellent knowledge of LLM and DL inference.
• Excellent presentation, communication and collaboration skills.

Responsibilities

• Partner with solution architects, engineering, product and business teams to define high-value solutions.
• Dynamically engage with developers, researchers, and data scientists across technical areas.
• Strategically partner with lighthouse customers and industry partners targeting our computing platform.
• Help customers adopt and build solutions using NVIDIA technology and MLOps tooling.
• Analyze performance and power efficiency of AI inference workloads on Kubernetes.
• Some travel to conferences and customers may be required (20%).

Skills

Python

GPU orchestration

MIG management

Deep learning

Problem solving

Communication

Education

Bachelor's/Master's/PhD in CS/EE/Physics/Math or related field

Tools

Kubernetes

TensorRT

NIM / NVIDIA libraries

Docker

Job description

NVIDIA in California seeks an experienced AI Solutions Architect to guide customers building with the latest AI tech, focusing on inference for Generative AI and LLMs. You will advise across teams and help design high-value, scalable solutions using NVIDIA platforms.

You’ll work with DL frameworks, GPUs, and MLOps tooling to optimize performance, power efficiency, and deployment of AI workloads, with occasional travel up to 20%.