---
title: "Deep Learning Solution… at NVIDIA – Beijing, China"
canonical: "https://www.metaintro.com/job/deep-learning-solution-architect-rl-and-post-training-at-nvidia-a944803e-fe71-5abe-a297-9f665ec9ceda"
language: "en"
author: "Metaintro"
---

[![NVIDIA logo](/api/favicon-proxy?url=https%3A%2F%2Fnvidia.com%2Ffavicon.ico)](/company/nvidia)[NVIDIA](/company/nvidia)
# Deep Learning Solution Architect - RL and Post-training at NVIDIA

Department: Architect, Solutions

LanguageEnglish
中文

**Setup**
: On-site

**Location**
: Beijing

**Type**
: Full-time

**Level**
: senior

**Posted**
: Aug 31, 2026

## Description

NVIDIA is seeking a Reinforcement Learning Engineer to develop and optimize reinforcement learning algorithms and infrastructure for large language models and multimodal models. The role involves enabling open-source model support, adapting RL methods for NVIDIA platforms, collaborating with research and engineering teams, guiding customer integrations, and maintaining toolchains and documentation. Candidates need a master’s or PhD in a relevant field, at least five years of experience in reinforcement learning, large language model training, or multimodal learning, and proficiency with PyTorch, distributed training, and evaluation pipelines.

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