1.6 KiB
1.6 KiB
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。