NVIDIA Corporation

Software Engineer - Drive OS

NVIDIA Corporation$124K — $195K *
US-AnywhereRemote in Santa Clara, CA
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Computer Science, Engineering, or related field, or equivalent experience.
  • 2+ years of software engineering experience with strong programming skills in Python.
  • Hands-on experience with AI technologies including LLMs and agentic workflows.
  • Experience with CI/CD systems and source control tools like Git.
  • Familiarity with build systems such as CMake or Bazel.
  • Strong analytical skills and experience automating engineering processes.
  • Excellent collaboration and communication skills.

Responsibilities

  • Design and develop AI-powered workflows for software delivery and release processes.
  • Build intelligent AI agents that detect and resolve build failures.
  • Develop AI-native solutions to enhance issue resolution and developer support.
  • Integrate AI with DevOps tools including GitHub, Jenkins, and Docker.
  • Collaborate with engineering teams to identify automation opportunities.
  • Contribute to guidelines for AI-assisted software development.

Benefits

  • Equity opportunities.
  • Comprehensive health benefits.
  • Flexible working arrangements.
Full Job Description
We are looking for a world-class AI Agentic Workflow Engineer to join the NVIDIA DRIVE OS Build & Release Engineering team. NVIDIA DRIVE™ OS is a foundational software platform consisting of an embedded Real-Time Operating System (RTOS), hypervisor, NVIDIA CUDA® libraries, NVIDIA TensorRT™, and other components that power the next generation of autonomous and intelligent systems.

In this role, you'll help transform Build & Release Engineering by developing AI-powered agentic workflows that automate software delivery, build diagnostics, release management, and developer support. Working at the intersection of AI and DevOps, you'll build intelligent automation that improves developer productivity, software quality, and release reliability across NVIDIA engineering teams.

What You'll Be Doing:
  • Design and develop AI-powered agentic workflows that automate and optimize software build, release, CI/CD, and developer productivity processes across the DRIVE OS software lifecycle.
  • Build intelligent AI agents and self-healing automation that proactively detect build failures, analyze root causes, recommend or implement fixes, and improve software delivery reliability.
  • Develop AI-native solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and modern orchestration frameworks to accelerate issue resolution, developer support, documentation, and engineering workflows.
  • Integrate AI capabilities with build, source control, and DevOps platforms including GitLab, Jenkins, Git, Docker, CMake, Bazel, Jira, and related engineering tools.
  • Collaborate closely with Build & Release, Developer Efficiency, and software engineering teams to identify automation opportunities, modernize engineering workflows, and deliver scalable technology solutions that improve developer experience and software quality.
  • Contribute to engineering guidelines, standards, and technical direction for AI-assisted software development, build automation, testing, and release engineering across NVIDIA.


What We Need to See:
  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
  • 2+ years of software engineering experience with strong programming skills in Python.
  • Hands-on experience building applications using modern AI technologies, including LLMs, agentic workflows, deterministic oracles, Retrieval-Augmented Generation (RAG), prompt engineering, tool calling, and agent orchestration frameworks.
  • Experience designing or implementing AI agents or intelligent automation for software engineering or developer productivity workflows.
  • Experience with CI/CD systems, software development workflows, and source control tools such as Git or Perforce.
  • Familiarity with build systems such as CMake, Bazel, Make, or similar technologies.
  • Strong analytical and problem-solving skills with experience automating complex engineering processes.
  • Excellent collaboration and communication skills with the ability to work effectively across multiple engineering organizations.


Ways to Stand Out from the Crowd:
  • Experience crafting production-grade agentic AI systems that bring to bear deterministic oracles, tool execution, workflow orchestration, and verification frameworks to deliver reliable autonomous workflows.
  • Background with multi-agent architectures, agent evaluation frameworks, tool calling, structured outputs, Model Context Protocol (MCP), or AI workflow orchestration platforms.
  • Background with AI frameworks and platforms such as OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex, AutoGen, CrewAI, or similar technologies.
  • Experience integrating LLMs into Build & Release Engineering, DevOps, CI/CD, or Developer Experience (DevEx) platforms.
  • Experience building self-healing infrastructure, autonomous operations, AI-powered developer assistants, or intelligent software diagnostics.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 19, 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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