一、面试总体概述
1.1案例背景
长鑫的 AI 面试通常在手机端进行,全程约 30-40 分钟,需要开启摄像头,整个流程一环扣一环:自我介绍(2 分钟)→ 基础感知测试(约 4 分钟)→ 英语综合能力考核(约 10 分钟)→ 中文情景模拟与专业追问(约 15 分钟)→ 性格与认知测评。 英语部分是精力消耗最大的一环,含朗读、问答、听力与复述四类;中文部分则由 AI 根据简历深度追问,尤其关注项目经历,务必用 STAR 法则组织答案并用数据支撑。
1.2基本信息
| 公司 | 长鑫科技集团股份有限公司 |
| 岗位 | AI 面试(综合通用岗) |
| 招聘类型 | 校招 |
| 面试形式 | 手机端线上 AI 面试(全程开启摄像头) |
| 面试轮次 | 3 轮 |
| 平均时长 | 9 分钟 |
| 题目数量 | 共 43 题,均附参考答案 |
| 整体难度 | ★★★★☆ 偏难 |
| 是否参加笔试 | 是 |
| 笔试形式 | 职业性格测评(问答环节之后,手机端进行) |
| 题型构成 | 抗压性 + 协作风格 + 职业性格倾向 |
1.3面试轮次与结构
| # | 轮次 | 类型 | 时间 | 时长 |
|---|---|---|---|---|
| 1 | 自我介绍与基础感知测试 | AI 面试 | 未注明 | 自我介绍 2 分钟;基础感知测试约 4 分钟 |
| 2 | 英语综合能力考核(约 10 分钟) | 英语测试 | 未注明 | 约 10 分钟 |
| 3 | 中文情景模拟与专业追问(约 15 分钟) | AI 面试 | 未注明 | 约 15 分钟;每题思考 30 秒、回答 2 分钟 |
1.4高频考点
| 考点 | 分类 | 出现轮次 | 次数 |
|---|---|---|---|
| 两分钟自我介绍与专业亮点 | 自我介绍与基础感知 | 自我介绍与基础感知测试 | 1 |
| 色盲与螺丝找不同的细心度 | 自我介绍与基础感知 | 自我介绍与基础感知测试 | 2 |
| 英文朗读与专业词汇发音 | 英语综合能力考核 | 英语综合能力考核(约 10 分钟) | 1 |
| 英文行为问答(STAR) | 英语综合能力考核 | 英语综合能力考核(约 10 分钟) | 21 |
| 英文听力与故事复述 | 英语综合能力考核 | 英语综合能力考核(约 10 分钟) | 7 |
| 中文情景模拟:冲突 / 模糊需求 / 主动优化 | 中文情景模拟 | 中文情景模拟与专业追问(约 15 分钟) | 11 |
1.5备考建议
| 优先级 | 易失分点 | 准备动作 |
|---|---|---|
| P0 | 英语环节体力分配失衡,到中文环节已疲惫 | 英语约 10 分钟是消耗最大的一环,考前按「朗读→问答→听力→复述」完整模拟一遍,练出节奏感 |
| P0 | 英文故事复述听懂却复述不出 | 先记牢屏幕给出的 3 句英文提示,听力只放一遍,练「抓主干 + 用自己的话串」而不是逐句背 |
| P0 | 中文追问答成流水账 | 所有中文题统一用 STAR(情境—任务—行动—结果)组织,结尾必须带具体数据或成果 |
| P1 | 基础感知测试丢分 | 色盲图与螺丝找不同考的是细心和专注力,螺丝题最后一道可能要选出两种不同规格,重点看螺帽、螺纹和顶部纹路 |
| P1 | 性格测评选得太快被系统提示 | 保持稳重务实风格,避免极端选项,每道题停留几秒再选 |
| P2 | 手机端环境与摄像头未调试 | 全程手机端且需开摄像头,提前找好稳定支架与光线,避免中途被人或通知打断 |
二、第 1 轮:自我介绍与基础感知测试
2.1面试形式与时长
| 轮次名称 | 自我介绍与基础感知测试 |
| 面试类型 | AI 面试 |
| 时长 | 自我介绍 2 分钟;基础感知测试约 4 分钟 |
| 形式 | 手机端线上(开启摄像头) |
| 本轮题量 | 3 题 |
2.2重点考查维度
- 自我介绍与基础感知 —— 本组 3 道题
基础感知测试没有标准答案,主要考察细心和专注力。色盲测试为看图找数字或字母,共 3 题;螺丝找不同是在一堆螺丝里找出有瑕疵或规格不同的,共 3 题,最后一题可能要选出两种不同的螺丝。
按「背景—亮点—成果—匹配」四段式组织;考察细心与专注力,无标准答案;最后一题可能要选出两种不同螺丝
2.3面试真题与参考答案
建议采用「个人背景—技能亮点—项目成果—岗位匹配」的结构。
- 个人背景:姓名、年龄、学校、专业(控制在 15 秒内说完)。
- 技能亮点:电子科学与技术专业要突出专业优势,比如半导体物理、集成电路工艺、器件测试、数据分析等课程或项目经验。
- 项目成果:挑 1 个项目讲透,务必用量化成果展示能力(如良率提升、测试覆盖率、周期缩短)。
- 岗位匹配:说明为什么能直接上手长鑫的岗位,收尾干脆。
注意:整体控制在 2 分钟内,这是第一印象,不要读稿。
应对要点:
- 这一环节没有标准答案,考察的是细心和专注力。
- 屏幕给出的色盲检测图需要在限定时间内读出其中的数字或字母,共 3 题。
- 不要盯着图反复纠结,第一眼识别出什么就答什么;识别不出也不要长时间停顿。
- 考前可以找几组色盲检测图熟悉一下出题形式,避免第一次见题型而慌乱。
- 保持手机屏幕亮度适中、光线充足,避免反光影响辨识。
应对要点:
- 在一堆螺丝里找出有瑕疵或规格不同的那一个,共 3 题,时间越短分数越高。
- 重点观察三个部位:螺帽(形状与厚度)、螺纹(间距与圈数)、顶部纹路(十字 / 一字 / 异形)。
- ⚠️ 最后一题可能要选出两种不同的螺丝,需要仔细观察螺帽、螺纹和顶部纹路,不要只选一个就提交。
- 建议先看整体轮廓快速排除一批,再逐个比对细节,避免在单一螺丝上耗光时间。
三、第 2 轮:英语综合能力考核(约 10 分钟)
3.1面试形式与时长
| 轮次名称 | 英语综合能力考核(约 10 分钟) |
| 面试类型 | 英语测试 |
| 时长 | 约 10 分钟 |
| 形式 | 手机端线上 |
| 本轮题量 | 29 题 |
3.2重点考查维度
- 英语 —— 本组 29 道题
这是整个 AI 面试中精力消耗最大的一环。英文问答思考时间 30 秒、回答 2 分钟;听力 2 道选择题先阅读 30 秒后播放录音,录音只播放一次,基本上听到什么选什么、不用推测;英文复述是先给 3 个关键句作为提示,观看 30 秒后播放故事,复述时英文提示会消失。
半导体/器件方向高频题,务必讲清排查路径;先给 3 句英文提示,观看 30 秒后播放故事,复述时提示消失
3.3面试真题与参考答案
应对要点:
- 屏幕上给出约 100 词的英文短文,直接朗读。
- 重点注意专业词汇的发音,如 semiconductor、circuit、wafer 等,考前把这些词单独练一遍。
- 按意群自然断句,不要逐词念,也不要为了赶速度而吞音。
- 遇到生词按自然拼读带过,保持节奏,不要回读。
First I would greet them and make them feel welcome, because the first few seconds decide the tone.
Then I would ask what they need, so I know whether it is urgent or just a casual visit.
If I am in the middle of something that cannot be stopped, I would explain briefly, arrange a place for them to wait, and give them a clear time when I can talk.
The key is to stay polite and honest rather than pretending I have time when I do not.
During a group project, our supervisor changed the requirement one week before the deadline.
Instead of complaining, I first listed which parts of our work were still usable and which had to be redone.
Then I split the team into two: one part handled the new requirement, the other kept the original deliverable stable.
We worked two extra evenings and delivered on time. I learned that when a plan changes, the first thing to do is to re-estimate, not to panic.
I usually spend about fifteen minutes each evening preparing for the next day.
I write down the three most important tasks for tomorrow and put the hardest one first.
I also check whether I need any files, data or equipment, and prepare them in advance so tomorrow starts smoothly.
This habit saves me a lot of time in the morning, because I never start the day by deciding what to do.
Last year I traveled alone to another city for a technical competition.
At first I was a bit anxious, so I planned the route, accommodation and backup options in detail before leaving.
On the way my train was delayed, but because I had a backup plan I still arrived on time.
Traveling alone taught me to think one step ahead and to stay calm when things do not go as planned.
I think it comes from three habits.
First, protect your energy: regular exercise and enough sleep are the base, not a bonus.
Second, keep input coming in. Creativity rarely appears from an empty mind, so I read outside my own field and talk to people with different backgrounds.
Third, use routines for repetitive work so that willpower is spent on the parts that actually need thinking.
I follow three sources: industry reports from research firms, the official technical releases of leading companies, and discussions with engineers I know.
I prefer primary sources, because second-hand news often loses the details that actually matter.
I also keep a short monthly note where I write down what changed and how it might affect my own work, so information turns into judgment.
Long projects lose energy not because people are lazy, but because they stop seeing progress.
So my first step is to split the long goal into visible milestones and celebrate each one.
Second, I explain why each person's piece matters, because people work harder when they see meaning.
Third, when someone is stuck I help directly instead of just asking for results, which keeps trust alive.
I try to understand how each person prefers to work: some want details in writing, others prefer a quick conversation.
I adapt to that instead of expecting everyone to match my style.
When there is disagreement, I focus on the goal rather than on who is right, and I say clearly what I need from them.
Being reliable is also part of getting along: if I promise something, I deliver it on time.
First, I would talk to them privately to find out what exactly discouraged them: usually it is not the workload but a feeling that the work is meaningless or unrecognized.
Then I would show them concrete evidence of what they have already achieved, because confidence comes back when people see results.
After that I would break their remaining task into smaller pieces so they can get a quick win.
If the problem is a skill gap, I would work with them on the first step instead of just telling them to try harder.
When I organized a student event, I had a fixed budget and many small expenses.
I first listed all expected costs and ranked them by necessity, then set a hard ceiling for each category.
I tracked every expense in a simple sheet and reviewed it weekly, so I could see early when one category was going over.
In the end we finished slightly under budget. The lesson is that budget control is about reviewing early, not about cutting at the end.
For one year I worked toward mastering semiconductor device testing.
My goal was not just to pass the exam but to be able to design and run a test flow independently.
I studied one topic each month, and applied it in the lab whenever possible instead of only reading.
By the end I could complete a full test report on my own, and that is also why I am confident applying for this position.
In my final year project, three of us built a small measurement system together.
The main purpose was to combine skills none of us had alone: one handled hardware, one handled the software, and I handled testing and data analysis.
We held short daily syncs so problems surfaced early.
The result worked, and I learned that collaboration is not about splitting work, it is about making each person's part fit the others.
After a long project meeting, a teammate who was absent asked me what had been decided.
Instead of repeating everything in order, I summarized it into three points: what was decided, who owns what, and the deadline.
I also sent a short written message so nothing was lost.
He told me later that this saved him a lot of time, and I learned that a good summary is a rearrangement, not a transcript.
The most stressful period was the final month of my graduation project, when the experiment failed repeatedly and the deadline was fixed.
Honestly, it felt like losing control: I kept working longer hours but the results did not improve.
What helped was stopping and writing down every step of the experiment, which revealed that one parameter had been set wrongly from the beginning.
After fixing it the data became stable. I learned that when stress keeps growing, the answer is usually to slow down and check assumptions, not to work longer.
In a course project, the old approach was to test each parameter one at a time, which took a lot of runs.
I introduced a simple orthogonal test design so each run covered several parameter combinations.
The advantage was fewer experiments with the same coverage, and it also made interactions between parameters visible.
We cut the testing time by roughly half and got clearer conclusions.
Yes. In one device test the measured values drifted far from the expected range.
I first checked the equipment and the wiring, then reviewed my procedure, and finally found that the sample had not been properly cleaned before testing, so the contact was unstable.
After re-preparing the sample, the results returned to normal.
The lesson I took is that when an experiment fails, check the simplest physical conditions before suspecting the theory.
During my internship, a senior engineer taught me how to write a test report that others can actually act on.
Before that, I just listed all the data I collected.
He showed me to start from the conclusion, then give only the evidence that supports it.
I gained a habit that I still use: write for the reader, not for yourself.
My supervisor once advised me to keep a daily lab log, even on days when nothing seemed to happen.
His reason was that most experiment failures are only explainable in hindsight, and without a log you cannot reconstruct what changed.
I followed this for a semester, and it paid off when a result suddenly shifted and the log immediately showed the change in ambient conditions.
So the advice was not about discipline, it was about preserving evidence.
I treat hobbies like appointments: I give them a fixed slot instead of doing them whenever I feel like it.
Usually it is two evenings a week and part of the weekend.
I keep them short so they do not eat into rest or work time.
This way I actually stick to them, because they are planned rather than left to leftover energy.
I read it in three passes.
First I read the abstract, figures and conclusion to get the main claim.
Second I read the method carefully, because that is what I will actually reuse.
Finally I write a short summary in my own words with three parts: the problem, the method, and the limitation. The limitation matters most, because it tells me whether the result applies to my situation.
In the first one or two years, I want to build solid hands-on ability in testing and process, and become someone the team can rely on for daily work.
In three to five years, I hope to own a complete module independently, from test design to result analysis.
In the long term, I want to grow into someone who can solve problems that are not yet well defined. I prefer to deepen in one company rather than change direction frequently.
应对要点:
- 先阅读选项 30 秒,划出选项之间的差异词,带着关键词听。
- 录音只播放一次,难度接近四级。
- 基本上听到什么选什么,不用推测,不要过度推理。
- 没听清立刻放弃跟下一题,不要在已播放完的题上犹豫。
复述要点(高频故事之一):
Tom is a fresh graduate looking for a full-time job. He once missed an important interview in New York because of heavy traffic. Later, he got another chance. This time, he learned his lesson and arrived several hours early. The interviewer was touched by his effort and offered him the job. This shows that being responsible and learning from mistakes can really make a difference.
复述要点(高频故事之一):
Mary wanted a doll, but her mother couldn't buy it because she had to support the family. As Mary's birthday got closer, she still hoped to get one. Her mom didn't say anything, so Mary got upset and stole some money to buy a doll for herself. The next morning, she found a doll on the table. It was a gift from her mom. She felt very ashamed and promised never to steal again.
复述要点(高频故事之一):
Mary had a little companion — a puppy. She went camping with her puppy. Mary fell and hurt her leg. The dog ran out to look for help. A driver followed the puppy and found Mary. The driver saw that Mary was injured and helped her. Finally, Mary recovered.
复述要点(高频故事之一):
Tom discovers a trapped goose on an icy lake. He takes a risk to rescue it, and eventually the goose flies away. Tom felt a sense of achievement.
复述要点(高频故事之一):
Tom and two geese were friends in the primary school. One day, Tom heard the cooks talking about killing the geese for the teachers' Christmas dinner. Tom sneaked out at night and caught the geese, trying to prevent them from being harmed.
复述要点(高频故事之一):
Mr. Wang lost his boarding pass, but a girl helped him find it. He caught the plane and signed the contract.
四、第 3 轮:中文情景模拟与专业追问(约 15 分钟)
4.1面试形式与时长
| 轮次名称 | 中文情景模拟与专业追问(约 15 分钟) |
| 面试类型 | AI 面试 |
| 时长 | 约 15 分钟;每题思考 30 秒、回答 2 分钟 |
| 形式 | 手机端线上 |
| 本轮题量 | 11 题 |
4.2重点考查维度
- 中文情景模拟 —— 本组 11 道题
这是面试的核心,AI 会根据你的简历内容进行深度追问,尤其关注项目经历。一般问四个问题,但有些问题会被追问。回答务必使用 STAR 法则(情境、任务、行动、结果)组织,并用具体数据和成果支撑。
4.3面试真题与参考答案
按 STAR 结构回答:
- 领域与契机:我印象最深的是 XX(选一个与专业有交叉、能讲出方法论的非专业领域),吸引我的是 XX。
- 学习过程:我从 XX 入手,用了 XX 时间,做了 XX 练习 / 输出。
- 达到的水平:现在我能独立完成 XX,产出过 XX(给出作品、数据或可验证的结果)。
- 迁移价值:这个过程让我掌握了快速进入陌生领域的方法,也正是我面对新任务时用的方法。
提示:选的领域要能讲出学习路径和水平,不要选只停留在「感兴趣」的。
- 先分别沟通:我会先单独找双方聊,了解每个人坚持的到底是什么——多数冲突表面是方案之争,底层是诉求不同(进度压力 / 风险顾虑 / 资源占用)。
- 把诉求摊开:在会上先复述双方的诉求,让大家确认自己被听懂,这一步能消掉大部分情绪。
- 找到共同目标:回到项目目标,把两种方案的优劣按「对目标的贡献」对比,而不是按谁的方案更好对比。
- 给出折中或补偿:如果采纳 A 方案,就把 B 关心的点单独做风险预案,让对方的需求有落点。
- 结果:最终团队达成一致,项目按期推进。
提示:重点是「照顾感受」的具体动作,不是「我让大家冷静了一下」。
- 先明确边界:拿到任务我先问清楚三件事——最终要交付什么、什么时候要、用什么标准验收。
- 拆解与自学:把任务拆成几个可验证的小块,针对不懂的部分快速补资料 / 请教有经验的人。
- 先出小样:先做一个最小可交付的版本,拿去和需求方确认方向,避免做完整才发现理解偏了。
- 过程同步:每天同步进度和卡点,让需求方有机会纠偏。
- 结果:最终交付了 XX,达到 XX 效果。
提示:这题考察的是「如何在信息不足时自己建立确定性」,重点在确认与纠偏机制。
- 情境:XX 项目里,需求只要求做到 XX 指标。
- 发现的问题:我在做 XX 时发现原目标下 XX 环节会成为瓶颈 / 有更好的做法。
- 主动动作:我先自己做了 XX 验证(小实验 / 数据对比 / 仿真),确认可行后才提出优化建议,并把成本与收益一起给到负责人。
- 结果:优化后 XX 指标从 XX 提升到 XX / 周期缩短 XX。
- 驱动力:一方面是我对把手上的事做到位有本能的要求,另一方面是我希望自己的判断被数据验证,而不只是完成任务。
提示:强调「先验证再提出」,体现主动性不是拍脑袋。
我听到的评价主要集中在两点:
- 靠谱:交给我的事不用反复催,我会主动同步进度,遇到风险提前说。这个评价来自 XX(实习导师 / 项目组长)。
- 愿意深挖:遇到不清楚的问题我不会停在表面,会自己先查清楚再来讨论。
也有提到过我的不足:有时候会把细节抠得比较久,我现在用提前拆节点、设截止时间来平衡。
提示:给具体来源,不要说「大家都觉得我很好」。
- 情境:团队来了新人,前两周基本靠自己摸索,上手慢。
- 我的动作:我先整理了一份入门清单(环境搭建 + 常用文档 + 常见问题),带他过一遍;然后给他一个难度低但完整的小任务,让他第一周就有产出;每天花十分钟答疑。
- 成果:他第二周就能独立承担 XX 工作,比预期提前 XX。
- 学到的事:带新人不是把知识讲完,而是帮他建立第一次正反馈;另外把隐性知识写成文档,对团队本身也是沉淀。
- 输入渠道:我主要看三类——官方文档和论文(一手信息)、行业技术媒体(保持广度)、与同行的交流(了解真实落地情况)。
- 学习方法:不只看,会动手。学新技术我会先跑通一个最小示例,再把它用到现有项目里替换掉一个环节。
- 成果:例如我用 XX 技术重构了 XX 流程,把 XX 从 XX 提升到 XX。
- 判断标准:我会看这项技术解决了什么问题、代价是什么,而不是追新。
- 核心问题:当时要解决的是 XX(说清痛点,比如重复操作太多 / 数据对不上 / 效率瓶颈)。
- 学习过程:先确认这个工具能解决该问题 → 跟官方文档跑通最小示例 → 拿到自己的真实数据上试 → 遇到 XX 问题查 XX 解决 → 固化成自己的操作模板 / 脚本。
- 使用水平:现在能独立用它完成 XX 全流程,包括 XX 和 XX;复杂场景还在持续积累。
- 结果:用上之后 XX 环节耗时从 XX 降到 XX。
提示:一定要先说「想解决的核心问题」,再讲过程,顺序反了会显得是在炫技。
- 如何察觉:我没有等到汇报才发现,而是每天同步进度时发现他连续两天没有更新,主动私聊了解。
- 定位原因:聊下来发现不是态度问题,是他卡在 XX 环节,缺的是 XX(一个接口文档 / 一次环境权限 / 一个前置数据),并且他已经不好意思开口。
- 帮助动作:我帮他补齐了 XX,并把剩下的任务拆成两步,让他当天先完成第一步恢复节奏。
- 结果:他在 XX 时间前完成,整体进度没受影响。
- 复盘:成员推进不下去时,先排除资源与信息阻塞,再谈能力和态度。
- 旧方法的问题:原来用 XX 方法,在 XX 场景下会出现 XX 问题(耗时 / 覆盖不全 / 结果不稳定)。
- 为什么换:新方法在 XX 点上更适配,具体是 XX(给出可对比的维度,如覆盖率、次数、稳定性)。
- 使用体验:切换的成本是 XX,我通过 XX 方式降低了这个成本;实际用下来 XX 指标从 XX 变成 XX。
- 保留判断:新方法也有局限——在 XX 场景下我还是会用旧方法,不是一味替换。
提示:给出对比维度,不要只说「新方法更好」。
我的想法很简单:问题不会因为我等着就消失,而且越晚暴露修复成本越高。
- 对事:我主动联系是因为我掌握的信息不全,对方手里有我需要的关键信息,早一步对齐就能少走一段弯路。
- 对人:我不把「主动找人」理解成麻烦别人,提前沟通比等到交付时出问题再解释要负责任得多。
- 边界:我会先自己把问题定位和可选方案想清楚再去找人,带着方案而不是只带着问题,这样沟通效率最高。
- 结果:在 XX 项目中我这样做,把 XX 环节的等待时间缩短了 XX。
备考阶段,我发现很多同学容易陷入「不知道从哪准备」的困境。后来我向学员推荐了一款叫求职精灵的 AI 工具,上面收录了大量真实面经,还能直接搜到目标岗位的面试官常问什么、评分标准是什么。用它做 AI 模拟面试也特别方便,输入公司和岗位,系统自动生成仿真题目并给出反馈,练完之后心里更有底。感兴趣的同学可以直接访问 https://finsight.work/ 体验。
总结收尾
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