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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or 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, 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.
- Experience integrating AI capabilities with build, source control, and DevOps platforms including GitLab, Jenkins, Docker, and related engineering tools.
- 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.
- Experience crafting production-grade agentic AI systems, multi-agent architectures, or AI workflow orchestration platforms.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
