Senior Applied AI Engineer

at Nvidia

📍 Santa Clara, United States

USD 152,000-241,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Debugging @ 4 Git @ 3 LLM @ 4 Machine Learning @ 4 Observability @ 3 Python @ 7 RAG

Details

NVIDIA is looking for a Senior Applied AI Engineer to build intelligent software systems that improve engineering productivity and software quality at scale. The role focuses on developing AI-powered workflows and services that 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.

Responsibilities

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 multifunctional 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.

Requirements

5+ years of proven experience or related experience.
B.S. or higher degree, or equivalent experience, in Computer Science, Computer Engineering, or a related field.
Strong software engineering fundamentals with excellent Python skills and experience building production-quality systems.
Hands-on experience building and deploying AI or machine learning 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 commits, branches, diffs, and large multi-repository codebases.
Track record of solving complex technical problems and working effectively across teams.

Preferred Qualifications

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, continuous integration systems, or source-control-based engineering workflows.

Benefits

Base salary range of $152,000–$241,500 USD, determined based on location, experience, and the pay of employees in similar positions.
Eligibility for equity and benefits.
NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.