Senior MLOps Engineer — AI Infra Architect (Equity)

NVIDIA Corporation (old)

Santa Clara (CA)

Hybrid

USD 184,000 - 357,000

Full time

14 days+

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

NVIDIA Corporation is seeking a Senior MLOps Engineer to advance AI infrastructure capabilities for strategic customers. You will design and deploy AI solutions on NeoCloud platforms and NVIDIA Cloud Partners, optimizing training, inference, and MLOps pipelines.

You will act as a technical contact for customers, guiding engagements on DGX Cloud, and refining production systems. The role emphasizes collaboration with teams building infrastructure software and accelerators, plus open-source

Qualifications

  • Experience with Linux and datacenter-scale systems.
  • Proficient in scripting (bash) and Python; systems programming in C++, Go, or Rust.
  • Hands-on experience with ML/AI workloads and deployment.
  • Strong communication and ability to present architectures and trade-offs.

Responsibilities

  • Develop AI infrastructure solutions and ML pipelines on NVIDIA platforms.
  • Advise on requirements for ML workloads and production deployments.
  • Troubleshoot and optimize full-stack AI/ML systems for customers.
  • Collaborate with infrastructure and acceleration teams on software and hardware integration.

Skills

Linux
Kubernetes
Batch schedulers
Distributed filesystems
Networking
Bash
Python
C++
Go
Rust
ML frameworks
Communication

Education

BS/MS/PhD in Computer Science or related field

Tools

DGX Cloud
CUDA
NeMo
RAPIDS
Triton
NIM
InfiniBand
NVLink
RoCE

Job description

NVIDIA Corporation is seeking a Senior MLOps Engineer to advance AI infrastructure capabilities for strategic customers. You will design and deploy AI solutions on NeoCloud platforms and NVIDIA Cloud Partners, optimizing training, inference, and MLOps pipelines.

You will act as a technical contact for customers, guiding engagements on DGX Cloud, and refining production systems. The role emphasizes collaboration with teams building infrastructure software and accelerators, plus open-source

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior MLOps Engineer: AI Infrastructure & Scale Expert
Senior MLOps Engineer: AI Infrastructure & Scale Expert

NVIDIA • Seattle (WA)

On-site
USD 184,000 - 357,000
Senior MLOps Engineer - DSX Enablement
Senior MLOps Engineer - DSX Enablement

NVIDIA • Seattle (WA)

On-site
USD 184,000 - 357,000
Senior AI Infra Engineer — Telemetry & ML Ops Equity
Senior AI Infra Engineer — Telemetry & ML Ops Equity

NVIDIA • Durham (NC)

On-site
USD 184,000 - 357,000
Senior MLOps Engineer - DSX Enablement
Senior MLOps Engineer - DSX Enablement

NVIDIA Corporation • Santa Clara (CA)

Hybrid
USD 184,000 - 357,000
Senior AI Infra Engineer — DGX Cloud (Equity)
Senior AI Infra Engineer — DGX Cloud (Equity)

NVIDIA Corporation • Santa Clara (CA)

On-site
USD 184,000 - 357,000
Equity
Benefits
Senior AI Infrastructure Engineer – Scale & Equity
Senior AI Infrastructure Engineer – Scale & Equity

Nvidia Corporation • Santa Clara (CA)

On-site
USD 184,000 - 356,500
Equity
Benefits
Senior AI Infra Engineer | Equity Eligible, Observability Focus
Senior AI Infra Engineer | Equity Eligible, Observability Focus

NVIDIA • Washington

On-site
USD 184,000 - 357,000
Equity
Benefits
Senior AI Infra Engineer — Build Telemetry & Ops, Equity
Senior AI Infra Engineer — Build Telemetry & Ops, Equity

NVIDIA • Austin (TX)

On-site
USD 184,000 - 357,000
Senior Software Engineer, AI-Driven Infra & Tooling — Equity
Senior Software Engineer, AI-Driven Infra & Tooling — Equity

NVIDIA • Santa Clara (CA)

On-site
USD 224,000 - 357,000
Equity
Benefits
Principal Infra Architect for AI-Driven Operations Equity
Principal Infra Architect for AI-Driven Operations Equity

NVIDIA AI • Redmond (WA)

On-site
USD 230,000 - 380,000
Competitive salary
Comprehensive benefits
Equity