Senior MLOps Engineer — DSX Enablement (Equity)

NVIDIA Corporation; Santa Clara (CA); Presencial; USD 184.000 - 357.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Benefits package

Descripción de la vacante

NVIDIA Corporation seeks a Senior MLOps Engineer to join the DSX Enablement team in Santa Clara, collaborating with strategic customers to advance AI workloads. You will develop innovative AI infrastructure, optimize MLOps pipelines, and guide production-ready solutions across DGX Cloud platforms.

Expect strong collaboration with infrastructure and open-source communities. Requirements include 8+ years in relevant roles, deep Linux/Kubernetes experience, proficiency in Python and systems

Formación

• BS/MS/PhD in CS, CE, or related field, or equivalent experience.
• 8+ years in data science, data engineering, or ML engineering.
• AI/ML experience across ML lifecycle from exploration to production.
• Linux, batch schedulers, Kubernetes, distributed filesystems, and datacenter networking.
• Bash and Python; systems programming in C++, Go, or Rust.
• ML/DL frameworks for training and inference.
• Strong communication and presentation skills.
• Proof of engineering discipline and execution on projects.

Responsabilidades

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

Conocimientos

Linux

Kubernetes

Python

Bash

C++

Go

Rust

ML frameworks

Educación

BS/MS/PhD in CS/Engineering or equivalent

Herramientas

NeoCloud

NVIDIA Cloud Partners (NCPs)

DGX Cloud

Descripción del empleo

NVIDIA Corporation seeks a Senior MLOps Engineer to join the DSX Enablement team in Santa Clara, collaborating with strategic customers to advance AI workloads. You will develop innovative AI infrastructure, optimize MLOps pipelines, and guide production-ready solutions across DGX Cloud platforms.

Expect strong collaboration with infrastructure and open-source communities. Requirements include 8+ years in relevant roles, deep Linux/Kubernetes experience, proficiency in Python and systems