We are looking for a world-class System Software Automation engineer to join the Build & Release DRIVE OS team. NVIDIA DRIVE™ OS is a foundational software stack consisting of an embedded Real Time OS (RTOS), hypervisor, NVIDIA® CUDA® libraries, NVIDIA Tensor RT™, and other modules that give you access to the hardware engines. DRIVE OS offers a safe and secure execution environment for applications such as secure boot, security services, firewall, and over-the-air updates. You will be a part of a team streamlining the development, build, and releases with modern DevOps tools!
What you'll be doing:
Automating and optimizing build, test, integration, and release processes for publicly distributed libraries.
Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Gitlab, Jenkins, Docker, CMake, Jira).
Developing shared utilities for setting up systems, running tests, and recording results.
Use LLMs to analyze and improve developer documentation, including README files, API references, and onboarding guides.
Prototype intelligent agents that assist with dependency management, versioning, and release notes.
Contributing to best-practices for building, testing, and releasing software.
Identifying infrastructure needs and translating them into action.
What we need to see:
BS or higher degree or equivalent experience in computer science.
We are looking for 5+ years of meaningful experience.
Strong interests towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams.
Proven experience setting up, maintaining, and automating continuous integration systems.
Proficiency in SCM (e.g. Perforce, Git) and build systems (e.g. make, cmake, bazel).
Adept programming skills in Python (or similar).
Curiosity about LLMs, NLP, or AI-driven developer tools
Passion for “it just works” automation and enabling team members.
Ways to stand out from the crowd:
Experience with mobile/embedded platforms and multiple operating systems (Linux, QNX, and Android).
Experience with OpenAI, Hugging Face, or similar LLM platforms.
Track record of identifying useful new technologies and incorporating them into SW development flows.
Experience as an active contributor to a SW project involving many developers.
Experience with software releases: codeline branching, integrations, maintenance, bug tracking.
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 a diverse 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 higher in computer science or equivalent experience
- 5+ years of meaningful experience
- Proficiency in SCM and build systems
- Adept programming skills in Python or similar
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.”
