Senior Applied AI Engineer

NVIDIA is looking for a Senior Applied AI Engineer to help build intelligent software systems that improve engineering productivity and software quality at scale. In this role, you will develop AI-powered workflows and services that help teams analyze complex code changes, surface meaningful signals from large engineering datasets, and accelerate debugging and decision-making. You will work at the intersection of software engineering, machine learning, and developer productivity to turn advanced AI capabilities into practical, reliable tools used in real engineering environments.

• →Invent and build AI-powered systems that enhance software quality, engineering efficiency, and developer workflows.
• →Develop intelligent workflows for analyzing large codebases, code changes, and engineering signals to help teams identify issues earlier and make faster, better decisions.
• →Build and maintain production services and infrastructure for AI-enabled applications, including orchestration, retrieval, evaluation, and monitoring.
• →Partner with software engineers and multi-functional teams to understand real workflow problems and translate them into practical AI solutions.
• →Evaluate emerging models, frameworks, and tooling to improve quality, latency, reliability, and cost across AI systems.
• →Drive projects from early concept through production deployment, iteration, and continuous improvement.

• 5+ years of proven experience or related field.
• Hold a B.S. or higher degree (or equivalent experience) in Computer Science/Engineering and related field
• Strong software engineering fundamentals with excellent Python skills and experience building production-quality systems.
• Hands-on experience building and deploying AI or ML systems, data-intensive backend services, or intelligent automation workflows.
• Experience with LLM-based applications, retrieval-augmented generation, agentic workflows, or orchestration frameworks.
• Strong familiarity with Git-based development workflows, including working with commits, branches, diffs, and large multi-repository codebases.
• Track record of solving complex technical problems and working effectively across teams.

• Experience building AI systems for developer tools, code intelligence, software quality, testing, or debugging workflows.
• Familiarity with model evaluation, prompt and context design, observability, and production monitoring for AI systems.
• Experience balancing model quality, latency, cost, and reliability in production environments.
• Background working with large-scale software platforms, CI systems, or source-control-based engineering workflows.

We are widely known as one of the technology world’s most desirable employers. Because of this, we have some of the most forward-thinking and hardworking people working for us. We want to hear from you if you're a creative and autonomous engineer with a real passion for technology.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.