Senior AI Engineer for Developer Tools & AI Workflows

NVIDIA

Santa Clara (CA)

On-site

USD 152,000 - 242,000

Full time

2 days ago
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Job summary

NVIDIA is seeking a Senior Applied AI Engineer to design AI-powered workflows that boost engineering productivity and software quality at scale. You will work across software engineering, ML, and developer tooling to deliver reliable, production-ready AI solutions in real engineering environments.

You will build and operate production services for AI-enabled applications, evaluate models, and collaborate with cross-functional teams to turn complex problems into practical, scalable tools that

Qualifications

  • 5+ years of proven experience in AI/ML engineering.
  • Bachelor's degree in Computer Science or related field.
  • Strong Python programming with production-grade systems.
  • Experience with LLM-based apps, RAG, or orchestration frameworks.
  • Familiar with Git-based workflows and large, multi-repo codebases.
  • Proven ability to solve complex problems across teams.

Responsibilities

  • Invent and build AI-powered systems that enhance software quality and engineering efficiency.
  • Develop intelligent workflows for analyzing large codebases and signals.
  • Build and maintain production services for AI-enabled applications.
  • Partner with engineers to translate real workflow problems into AI solutions.
  • Evaluate models and tooling to improve quality, latency, reliability, and cost.
  • Drive projects from concept to production deployment and improvement.

Skills

Python
Production systems
AI/ML systems
LLM workflows
Git workflows
Cross-team collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Git
CI/CD
Retrieval-Augmented Generation

Job description

NVIDIA is seeking a Senior Applied AI Engineer to design AI-powered workflows that boost engineering productivity and software quality at scale. You will work across software engineering, ML, and developer tooling to deliver reliable, production-ready AI solutions in real engineering environments.

You will build and operate production services for AI-enabled applications, evaluate models, and collaborate with cross-functional teams to turn complex problems into practical, scalable tools that

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