Generative AI Solutions Architect for Inference & MLOps - Equity Eligible

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 184,000 - 288,000

Full time

14 days+

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Job summary

NVIDIA Corporation in Santa Clara, CA is seeking outstanding AI Solutions Architects to support customers building solutions with the latest AI technology. You will serve as a trusted technical advisor across teams, focused on inference for Generative AI and LLMs.

You will partner with engineers, data scientists, and customers to define high-value solutions, analyze performance and power efficiency on Kubernetes, and travel up to 20% for conferences and customer sites.

Qualifications

  • 8+ years hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow.
  • Strong fundamentals in programming, optimizations, and software design, especially in Python.
  • Experience with GPU orchestration and Multi-Instance GPU (MIG) management within Kubernetes.
  • Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments.
  • Excellent knowledge of the theory and practice 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.
  • Engage with developers, researchers, and data scientists across technical areas.
  • Strategically partner with lighthouse customers and industry partners for the NVIDIA platform.
  • Help customers adopt and build creative NVIDIA-based solutions for inference and MLOps.
  • Analyze performance and power efficiency of AI inference workloads on Kubernetes.
  • Travel to conferences and customer sites as needed (up to 20%).

Skills

Python
DL frameworks
CUDA/GPU
Problem solving
C/C++

Education

BS/MS/PhD in CS/Engineering/Phys/math

Tools

NVIDIA GPUs
TensorRT
Kubernetes
Docker

Job description

NVIDIA Corporation in Santa Clara, CA is seeking outstanding AI Solutions Architects to support customers building solutions with the latest AI technology. You will serve as a trusted technical advisor across teams, focused on inference for Generative AI and LLMs.

You will partner with engineers, data scientists, and customers to define high-value solutions, analyze performance and power efficiency on Kubernetes, and travel up to 20% for conferences and customer sites.

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