Senior AI-Driven Infra & Tooling Engineer

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Software Engineer to advance DriveOS tooling and automation infrastructure. You will design scalable automation systems, developer tooling, and dashboards to improve build quality and release reliability.

You will architect AI-native pipelines with LLM agents, integrate RAG systems, and shape engineering workflows while ensuring traceability and safety in AI-generated artifacts. This is a full-time, on-site role in California.

Qualifications

• BS or MS in Computer Science, or equivalent experience, with 8+ years in infrastructure, DevOps, or software tooling.
• Strong proficiency in Python and a solid understanding of tooling architecture and design patterns.
• Experience managing enterprise-scale CI/CD environments and infrastructure-as-code tools.
• Experience building production-grade backend services and modern web interfaces.
• Experience deploying AI-enabled tooling and data pipelines for engineering workflows.

Responsibilities

• Design and implement highly available automation systems, developer tooling, and intelligent dashboards.
• Architect AI-native pipelines that integrate LLM-based agents and RAG systems into engineering workflows.
• Build integrated data pipelines that surface executive-level insights from telemetry.
• Define governance policies for AI-assisted tooling outputs with traceability and safety considerations.

Skills

Python

REST/GraphQL APIs

SQL/Data warehousing

Communication

Backend development

Education

Bachelor's or Master's in Computer Science

Tools

Terraform

Ansible

GitLab CI/Jenkins

React/TypeScript

Job description

NVIDIA Corporation is seeking a Senior Software Engineer to advance DriveOS tooling and automation infrastructure. You will design scalable automation systems, developer tooling, and dashboards to improve build quality and release reliability.

You will architect AI-native pipelines with LLM agents, integrate RAG systems, and shape engineering workflows while ensuring traceability and safety in AI-generated artifacts. This is a full-time, on-site role in California.