# Job: 百度 - 2027AIDU 大模型 Infra 工程师

---
type: job
company: 百度
role: 2027AIDU-大模型Infra工程师
location: 北京市
source_url: https://talent.baidu.com/jobs/list?projectType=3&recruitType=GRADUATE
source_name: 百度校园招聘
source_quality: official
collected_at: 2026-07-08
posted_at: 2026-05-12
first_seen_at: 2026-07-08
last_checked_at: 2026-07-08
snapshot_type: new
job_code: J99967
previous_snapshot:
status: active
level: graduate
team: AIDU项目
business_area: model infrastructure
employment_type: campus
salary:
skills:
  - inference
  - serving
  - distributed-training
  - gpu
  - model-compression
  - cloud
topics:
  - llm-infra
  - inference
models:
  -
related_papers:
  -
related_experiments:
  -
related_projects:
  -
relevance: medium
---

## Source Snapshot

- source: 百度官方招聘页
- collected_at: 2026-07-08
- availability: 页面可访问，岗位列表显示发布日期 2026-05-12。

## Raw JD Summary

大模型 Infra 岗位关注 AI 异构计算加速引擎、底层算子、通信库、编译系统、分布式系统和训练/推理效率优化。

## Extracted Signals

- hard requirements: inference engine、通信库、算子、编译优化、分布式系统。
- hidden signals: Agent 能力落地会被成本、延迟和推理效率约束；JD 需求里 infra 和 Agent 应用是并行出现的。
- business direction: 大模型平台化和成本优化。

## Knowledge Links

- concepts: inference, latency, cost control
- papers:
- experiments: agent cost/latency evaluation
- projects:

## Gaps for Us

- Agent 知识库需要增加成本、延迟和推理服务专题。