Senior AI Infra Architect for GPU Clusters & LLMs

Cadence Design Systems, Inc.; San Jose (CA); On-site; USD 168,000 - 312,000; Full time

Job summary

Cadence Design Systems, Inc. seeks an experienced AI Systems Engineer to lead the lifecycle of AI infrastructure, from GPU clusters to model deployment. This senior IC role emphasizes on-prem and cloud integrations, with responsibility for performance, security, and scalability of agentic AI services.

You will oversee Docker/Kubernetes environments, CI/CD pipelines, and large language model optimizations, while mentoring peers and advancing operational excellence.

Qualifications

• Minimum 12+ years in senior technical roles with 5+ years on AI infra/HPC.
• Deep NVIDIA GPU, CUDA/cuDNN expertise and multi-GPU training experience.
• Proven cloud AI service experience (Azure OpenAI, GCP).
• Hands-on Docker, containerization, and Linux sysadmin skills.

Responsibilities

• Lead AI infra architecture for on-prem GPU clusters, storage, networking.
• Integrate Azure OpenAI and GCP services, manage usage and billing.
• Install, tune, and manage GPU servers and LSF with Docker integration.
• Build and operate end-to-end AI tech stack with PyTorch/TensorFlow, Kubernetes, CI/CD.
• Oversee LLM deployment, quantization, distillation, and high-throughput serving.

Skills

NVIDIA GPU architecture

CUDA/cuDNN

Docker

Python scripting

Linux administration

LSF scheduling

Kubernetes

Azure OpenAI & GCP

CI/CD for AI

Agentic AI integration

Tools

Docker

LSF

Kubernetes

TensorFlow

PyTorch

Job description

Cadence Design Systems, Inc. seeks an experienced AI Systems Engineer to lead the lifecycle of AI infrastructure, from GPU clusters to model deployment. This senior IC role emphasizes on-prem and cloud integrations, with responsibility for performance, security, and scalability of agentic AI services.

You will oversee Docker/Kubernetes environments, CI/CD pipelines, and large language model optimizations, while mentoring peers and advancing operational excellence.