NVIDIA

Forward Deployed Engineer, AI Accelerator

NVIDIA

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $168,000 - $322,000 per year

Job Level

SeniorLead

Tech Stack

AnsibleAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesLinuxPythonPyTorchServiceNowTensorflowTerraform

About the role

  • Design and deploy custom AI solutions including distributed training, inference optimization, and MLOps pipelines across customer environments Provide remote technical support to strategic customers, optimize AI workloads, diagnose and resolve performance issues, and guide technical implementations through virtual collaboration Deploy and manage AI workloads across DGX Cloud, customer data centers, and CSP environments using Kubernetes, Docker, and scheduling systems for GPU Profile and optimize large-scale model training and inference workloads, implement monitoring solutions, and resolve scaling challenges Build custom integrations with customer systems, develop APIs and data pipelines, and implement enterprise software connections Create implementation guides, documentation for resolution approaches and standard methodologies for complex AI deployments

Requirements

  • 8+ years of experience in customer-facing technical roles (Solutions Engineering, DevOps, ML Infrastructure Engineering) BS, MS, or Ph.D. in CS, CE, EE or equivalent experience Strong proficiency with Linux systems, distributed computing, Kubernetes, and GPU scheduling AI/ML experience supporting inference workloads and training at large-scale Programming skills in Python, with experience in PyTorch, TensorFlow, or similar AI frameworks Customer engagement ability to work effectively with technical teams under high-pressure situations