NVIDIA Corporation

Senior Applied AI Engineer

NVIDIA Corporation$152K — $241K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in AI, ML, or related fields
  • B.S. or higher in Computer Science/Engineering or equivalent
  • Strong Python skills and experience in production-quality systems
  • Hands-on experience with AI/ML systems or data-intensive backend services
  • Familiarity with Git-based development workflows
  • Track record of solving complex technical problems effectively across teams

Responsibilities

  • Invent and build AI systems to enhance software quality and productivity
  • Develop workflows for analyzing code and engineering signals
  • Build and maintain production infrastructure for AI applications
  • Collaborate with multi-functional teams to solve workflow problems
  • Evaluate models and tools to improve AI system performance
  • Drive projects from concept to production deployment

Benefits

  • Equity eligibility
  • Work with cutting-edge technology in a high-impact role
  • Join a team of forward-thinking, hard-working people
  • Opportunities for continuous learning and innovation
  • A chance to make a tangible impact on developer productivity
Full Job Description

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.


What you will be doing:

  • 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.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and .

Applications for this job will be accepted at least until September 18, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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