Senior MLOps Engineer — AI Infra & Scale Leader

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

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA is seeking a Senior MLOps Engineer to join our DSX Enablement team, collaborating with strategic customers to implement and enhance AI workloads and open-source collaborations.

You will build MLOps pipelines on NeoCloud and with NCPs, tune training and inference at scale, and advise on infrastructure for production AI workloads. This role requires 8+ years in ML engineering and strong Linux/Kubernetes skills.

Qualifications

• 8+ years in data science, data engineering, or ML engineering.
• Experience across ML lifecycle from exploration to production.
• Strong Linux, Kubernetes, distributed systems exposure.
• Proficient in Python and systems programming (C++, Go, Rust).
• Experience with ML frameworks for training and inference.

Responsibilities

• Build and deploy AI/ML solutions on NeoCloud and NCPs, incl. distributed training and MLOps pipelines.
• Act as primary technical contact guiding engagements and production success.
• Collaborate with infrastructure teams building software and accelerated frameworks.
• Profile and tune large-scale training/inference workloads to reduce latency and cost.
• Develop open-source tools and reference architectures for scalable ML workloads.

Skills

Linux

Kubernetes

Python

C++

Go

Rust

bash

ML frameworks

Distributed systems

Communication

Education

BS/MS/PhD in CS/EE or related

Tools

CUDA

NeMo

RAPIDS

Triton

NVIDIA DGX

NVLink / InfiniBand

Job description

NVIDIA is seeking a Senior MLOps Engineer to join our DSX Enablement team, collaborating with strategic customers to implement and enhance AI workloads and open-source collaborations.

You will build MLOps pipelines on NeoCloud and with NCPs, tune training and inference at scale, and advise on infrastructure for production AI workloads. This role requires 8+ years in ML engineering and strong Linux/Kubernetes skills.