Senior Applied AI Engineer – Developer Tooling & Workflows

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 152,000 - 242,000

Full time

14 days+

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Job summary

NVIDIA in Santa Clara, CA is seeking a Senior Applied AI Engineer to build AI-powered workflows and production services for software engineering teams. You will analyze large codebases and signals to improve debugging, decisions, and developer productivity, delivering end-to-end AI-enabled workflows and services.

The role demands 5+ years in AI/ML with Python, production systems experience and collaboration across engineering teams.

Qualifications

  • 5+ years of proven experience or related field.
  • B.S. or higher in Computer Science/Engineering or related field.
  • Strong Python and production-quality systems.
  • Hands-on AI/ML systems development and deployment.
  • Experience with LLM-based apps or orchestration frameworks.
  • Experience with Git-based development workflows.
  • Proven ability to solve complex problems across teams.

Responsibilities

  • Invent and build AI-powered systems that enhance software quality, engineering efficiency, and developer workflows.
  • Develop intelligent workflows for analyzing large codebases, changes, and signals to anticipate issues.
  • Build and maintain production services for AI-enabled applications, including orchestration and monitoring.
  • Collaborate with engineers and cross-functional teams to turn workflow problems into AI solutions.
  • Evaluate models, frameworks, and tooling to improve quality, latency, reliability, and cost.
  • Drive projects from concept through production deployment and continuous improvement.

Skills

Python
Software engineering
AI/ML systems
Git workflows
Problem solving
Team collaboration

Education

Bachelor's degree in CS or related field

Tools

CI/CD tooling
LLM frameworks

Job description

NVIDIA in Santa Clara, CA is seeking a Senior Applied AI Engineer to build AI-powered workflows and production services for software engineering teams. You will analyze large codebases and signals to improve debugging, decisions, and developer productivity, delivering end-to-end AI-enabled workflows and services.

The role demands 5+ years in AI/ML with Python, production systems experience and collaboration across engineering teams.

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