Senior Cloud AI Infra Engineer: Go/C, Kubernetes, GPUs

Nvidia; Santa Clara (CA); On-site; USD 240,000 - 340,000; Full time

Benefits offered by this job

Competitive salaries

Comprehensive benefits package

Equity

Job summary

NVIDIA in Santa Clara, CA seeks a seasoned software engineer to design and develop systems for managing a fleet of Kubernetes clusters for GPU and DPU accelerated AI workloads. You will automate build, test, and release pipelines for cloud-native infrastructure and optimize performance at scale.

Candidates should have a BS/MS in CS and 10+ years in large-scale environments, with expert-level Go or C skills and deep Linux kernel and container orchestration knowledge.

Qualifications

• BS/MS in Computer Science required.
• 10+ years of experience in large-scale environments.
• Expert-level proficiency in Go or C; deep knowledge of Linux kernel internals and container orchestration.

Skills

Go

C

Kubernetes

Linux Kernel

Container Technology

Distributed Systems

CI/CD

Cloud Computing

Data Structures

Algorithms

GPU Systems

DPU Systems

Gitlab

Argo

Flux

Confidential Computing

Education

BS/MS in Computer Science

Tools

Gitlab

Argo

Flux

Job description

NVIDIA in Santa Clara, CA seeks a seasoned software engineer to design and develop systems for managing a fleet of Kubernetes clusters for GPU and DPU accelerated AI workloads. You will automate build, test, and release pipelines for cloud-native infrastructure and optimize performance at scale.

Candidates should have a BS/MS in CS and 10+ years in large-scale environments, with expert-level Go or C skills and deep Linux kernel and container orchestration knowledge.