# How NVIDIA engineers and researchers build with Codex

DevFeed: [How NVIDIA engineers and researchers build with Codex](<https://devfeed.tech/articles/how-nvidia-engineers-and-researchers-build-with-codex-6556.md>)

Original publisher: [Read original article](<https://openai.com/index/nvidia>)

Published: 2026-05-12T00:00:00Z

Content type: article

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [AI research agents](<https://devfeed.tech/topics/ai-research-agents.md>), [Language models](<https://devfeed.tech/topics/language-models.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [autonomous](<https://devfeed.tech/tags/autonomous.md>), [codex](<https://devfeed.tech/tags/codex.md>), [coding](<https://devfeed.tech/tags/coding.md>), [experiments](<https://devfeed.tech/tags/experiments.md>), [gpt](<https://devfeed.tech/tags/gpt.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [production](<https://devfeed.tech/tags/production.md>), [research](<https://devfeed.tech/tags/research.md>)

## AI overview

NVIDIA engineers use Codex with GPT-5.5 for complex engineering work and end-to-end machine learning experiments. The article describes autonomous coding, testing, and research workflows, including building production systems and running experiments remotely.

## Source excerpt

Teams use Codex with GPT-5.5 to ship production systems and turn research ideas into runnable experiments.