wuyang
71 lines
1.6 KiB
Markdown
71 lines
1.6 KiB
Markdown
# Job: 百度 - 2027AIDU 大模型 Infra 工程师
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---
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type: job
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company: 百度
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role: 2027AIDU-大模型Infra工程师
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location: 北京市
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source_url: https://talent.baidu.com/jobs/list?projectType=3&recruitType=GRADUATE
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source_name: 百度校园招聘
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source_quality: official
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collected_at: 2026-07-08
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posted_at: 2026-05-12
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first_seen_at: 2026-07-08
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last_checked_at: 2026-07-08
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snapshot_type: new
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job_code: J99967
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previous_snapshot:
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status: active
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level: graduate
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team: AIDU项目
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business_area: model infrastructure
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employment_type: campus
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salary:
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skills:
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- inference
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- serving
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- distributed-training
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- gpu
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- model-compression
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- cloud
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topics:
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- llm-infra
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- inference
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models:
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-
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related_papers:
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related_experiments:
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-
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related_projects:
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-
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relevance: medium
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---
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## Source Snapshot
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- source: 百度官方招聘页
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- collected_at: 2026-07-08
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- availability: 页面可访问，岗位列表显示发布日期 2026-05-12。
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## Raw JD Summary
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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。
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## Extracted Signals
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- hard requirements: inference engine、通信库、算子、编译优化、分布式系统。
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- 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。
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- business direction: 大模型平台化和成本优化。
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## Knowledge Links
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- concepts: inference, latency, cost control
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- papers:
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- experiments: agent cost/latency evaluation
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- projects:
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## Gaps for Us
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- Agent 知识库需要增加成本、延迟和推理服务专题。
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