NCX Senior Engineer at NVIDIA

Department: Engineer, Sys SW

Language

Compensation

$184,000 – $356,500/yr

Setup: Remote
Location: California · Seattle, Washington · +1
Type: Full-time
Level: senior
Posted: Sep 3, 2026

Description

NVIDIA is hiring an NCX Senior Engineer for its DSX team to build and deploy custom AI solutions on NCP and Neo Cloud platforms, support strategic customers and NVIDIA Cloud Partners, troubleshoot production workloads, and optimize large-scale training and inference systems. The role requires advanced Linux, distributed computing, Kubernetes, GPU scheduling, Python or Go, and AI/ML experience, with a base salary of 184,000–287,500 USD for Level 4 and 224,000–356,500 USD for Level 5, plus equity and benefits. Applications were accepted through September 7, 2026.

Required Skills

Linux
Distributed computing
Kubernetes
GPU scheduling
Python/Go
PyTorch
TensorFlow
MLOps
Terraform

Additional Information

Minimum Education: Bachelor's, master's, or Ph.D. degree in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience
Required Previous Experiences: 8+ years of customer-facing technical experience in Solutions Engineering, DevOps, Site Reliability, or ML Infrastructure Engineering
Experience supporting large-scale AI/ML training and inference workloads in production or critical environments
Hands-on experience with PyTorch or TensorFlow for training and serving
Preferred Qualifications: Experience with NVIDIA ecosystem technologies including DGX, CUDA, NeMo, Triton, NIM, InfiniBand, and RoCE
Experience collaborating with NVIDIA Cloud Partners, hyperscale CSPs, or managed AI cloud platforms
Deep familiarity with MLOps, containerization, CI/CD, observability, and GitOps
Experience with infrastructure as code for GPU-accelerated clusters and NCP building blocks