Senior MLOps Engineer - AI Infrastructure & Cloud

Nvidia Corporation in; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior MLOps Engineer to join the DSX Enablement team in Santa Clara, CA, collaborating with strategic customers to implement and optimize AI workloads.

You will build and deploy AI solutions on NeoCloud platforms and NVIDIA Cloud Partners, tune large-scale training and inference workloads, and contribute open-source tools and reference architectures to simplify ML systems at scale. This role requires strong Linux/Kubernetes skills and experience with Python/C++.

Qualifications

• 8+ years in ML/data engineering or similar roles.
• Experience across multiple phases of ML lifecycle.

Responsibilities

• Develop and deploy AI solutions on NeoCloud and NVIDIA Cloud Partners, including distributed training and inference optimization.
• Profile and tune large-scale training/inference workloads; reduce latency and cost.

Skills

MLOps pipelines

Distributed training

Python

C++

Kubernetes

Cloud platforms

Education

BS/MS/PhD in CS/EE or related

Tools

DGX Cloud

CUDA

NeMo

RAPIDS

NVIDIA tooling

Job description

NVIDIA is seeking a Senior MLOps Engineer to join the DSX Enablement team in Santa Clara, CA, collaborating with strategic customers to implement and optimize AI workloads.

You will build and deploy AI solutions on NeoCloud platforms and NVIDIA Cloud Partners, tune large-scale training and inference workloads, and contribute open-source tools and reference architectures to simplify ML systems at scale. This role requires strong Linux/Kubernetes skills and experience with Python/C++.