为什么计算机科学学位仍然能为你开启隐形的机遇之门
Why a Computer Science Degree Still Opens Hidden Doors

原始链接: https://spectrum.ieee.org/computer-science-degree-isnt-dead

尽管有人担心计算机科学(CS)学位已经过时,但资深业内人士 Brian 指出,当前的就业市场危机是由于招聘流程失效,而非需求不足所致。虽然“幽灵职位”和入门级招聘的减少制造了门槛,但计算机科学专业的毕业生在就业成果上依然优于许多其他专业。 为了在这种竞争激烈的环境中获得职位,作者建议: * **利用人脉:** 通过个人和职业关系进行内推,以绕过冷投。 * **瞄准初创公司:** 拥抱早期公司带来的“对称风险”,通过高影响力的工作经验来充实简历,为未来职业发展铺路。 * **创造价值:** 不要等待经验积累。应构建并部署能够解决实际问题的真实项目,而非依赖“玩具式”项目。 * **深化人工智能专业知识:** 不要仅满足于熟练使用 AI 工具。应专注于理解 AI 的技术架构,例如检索增强生成(RAG)管道和向量数据库,这些都是目前需求量很大的技能。 归根结底,求职者应致力于培养持久的技能和逻辑推理能力。职业生涯的起点并不能决定你的长期成功;请专注于成长、实践应用以及适应能力。

近期一则 Hacker News 的讨论引发了对计算机科学(CS)应届毕业生高失业率(据报道超过 6%)的担忧,这一比例甚至超过了人文学科。 评论者对行业前景深感忧虑,认为初级职位的缺失是一场“生存危机”。许多人指出,企业用人工智能取代初级岗位是目光短浅的行为,因为软件工程需要多年的指导才能掌握。一些用户警告称,这种对“随意生成的”AI 代码的依赖最终会导致系统性故障,可能会像当年对 COBOL 专家的需求一样,在未来催生对资深开发人员的巨大需求。 另有人建议进行战略转型:与其攻读专业化的 CS 本科学位,学生不如学习物理或化学等基础科学或数学以拓宽专业领域,将深入的 CS 训练留到硕士阶段。总的来说,资深开发者对行业目前不愿投资下一代人才的现状感到十分沮丧。
相关文章

原文

This article is crossposted from IEEE Spectrum’s careers newsletter. Sign up now to get insider tips, expert advice, and practical strategies, written in partnership with tech career development company Parsity and delivered to your inbox for free!

The CS Degree Isn’t Dead. The Entry-Level Pipeline Is

There is no shortage of people telling recent engineering graduates that their degree was a mistake and that AI is coming for their jobs before they even land one. I respectfully disagree.

I have been a software engineer for 12 years, done well over 100 interviews on both sides of the table, and run Parsity, an AI engineering program. A few patterns emerge consistently in who actually breaks through in today’s job market. Here’s why I think the job market isn’t as dire as it looks, and what I would do if I were looking for my first tech job.

The Numbers Need Context

The Federal Reserve Bank of New York recently placed unemployment for recent CS graduates in the United States at 6.1 percent, with computer engineering graduates at 7.5 percent. Compared to philosophy majors at 3.2 percent and art history graduates at 3.0 percent, those figures look alarming. They require more context than most headlines provide.

When researchers factor in underemployment (graduates working jobs that don’t require a college degree), then engineers are doing relatively well, coming in below 20 percent, against a 42 percent average across all recent graduates. Many majors reporting lower unemployment are achieving that figure by accepting work entirely unrelated to their field. Scored across unemployment, underemployment, and early-career earnings together, CS and computer engineering still rank among the top fields for overall labor market outcomes.

The degree is not the problem. The hiring pipeline is. Job postings labeled “entry-level software engineer” grew roughly 47 percent between late 2023 and late 2024, while actual hiring into those roles dropped approximately 73 percent in the same window. So-called “ghost jobs,” used to create an illusion of company growth, are everywhere. This makes the front door harder to find, but it exists.

Here Is What To Do About It

Do a broad search of your (real-life) network. Roughly 26 percent of job offers come through referrals. Look at your actual network—classmates, professors, past internship contacts, relatives—and identify people at companies that might be hiring. The goal is a warm introduction to someone who is or knows a decision maker. One introduction carries more weight than a hundred cold applications through a portal.

Find symmetric risk. A junior engineer is a risky hire by definition. A startup carries a matching risk profile, meaning potentially lower compensation, no certainty of longevity, and higher performance expectations. But that shared risk creates mutual interest. The learning curve is steep, the exposure is broad, and the track record transfers directly. For engineers whose longer-term goal is a large organization, a startup is not a detour. It can be how you build the experience those organizations eventually want to see. The first job is for validation and learning. It is not a life sentence.

Manufacture experience rather than waiting for it. Employers want experience but will not hire you to get it. The way through is to create it: a deployed project, an open-source contribution, building something real for a small business or family member. Recruiters are skeptical of toy projects. A deployed application solving a real problem, combined with the ability to talk clearly about the decisions you made and why, still moves the needle.

Gain practical AI engineering skills, not just AI tool fluency. Using Cursor or Copilot is now a baseline expectation. What differentiates candidates is going one level deeper. Most working engineers, including senior ones, have not built a RAG pipeline or designed a multi-agent system. Understanding how to chunk documents, generate embeddings, store and query them from a vector database, and wire it into a production application puts a candidate ahead of a significant portion of the market on a skill in rapidly growing demand. AI and data science roles grew 163 percent in job postings in 2025. The engineers who understand how these systems actually work, not just how to prompt them, are in the shortest supply.

Stop optimizing around conditions you cannot predict. Nobody anticipated the 2021 hiring boom. Nobody predicted this correction. Build durable skills. The demand for engineers who can reason clearly about systems is not going away. Where you start is not where you end.

—Brian

More major workforce reductions are on the horizon at Big Tech companies: Meta announced it will cut 10 percent of its workforce, or about 8,000 employees, and Microsoft plans to offer buyouts for 7 percent of its U.S. employees in a voluntary retirement program. The cuts are understood by many to be linked to AI. But is AI really to blame? For The Conversation, two academics at the University of Sydney give their two cents.

Read more here.

Tom Burick got his start as a roboticist. But when a financial downturn forced him to close his robotics business, he thought of the effect teachers had on his life and decided to pay it forward. Burick now works as a technology instructor at a school for students with autism, where he recently led a project building a full-scale replica of ENIAC, an historic computer celebrating its 80th anniversary this year.

Read more here.

Across several industries, the United States has been moving toward limiting the use of sensitive technology made in China. Now, legislation has been introduced to extend the trend to ground robots, including humanoids, dogs, and crawlers. This could benefit some U.S.-based robotics firms—but many of these companies still rely on Chinese-made components. “The U.S. robotics industry is in a pickle,” writes Spectrum tech policy editor Lucas Laursen.

Read more here.

From Your Site Articles

Related Articles Around the Web

联系我们 contact @ memedata.com