Video summary

컴퓨터공학과 졸업하면 할 수 있는 직업 7가지

Main summary

Key takeaways

Educational

Main ideas / concepts conveyed

  • Choosing a career direction early matters

    • During the 3rd and 4th years (advanced major courses), you should decide your career path; otherwise it becomes harder to find a job after graduation.
    • The suggested approach is to align your career choice with your school’s curriculum to grasp the basics quickly.

  • 7 (claimed up to “9”) common/important career paths for Computer Engineering / C.S. graduates

    1. App Developer

      • Builds smartphone applications.
      • Often aligned with two-year college curricula focused on app development, so graduates with intensive training get hired.
      • Pros: Employment can be relatively good even from junior colleges.
      • Cons: The job market may be smaller/shorter compared to other areas, implying (relative) lower educational requirements.

    2. Web Developer

      • Builds web-based programs/apps, such as login and payment systems.
      • Includes common e-commerce features like shopping carts.
      • Market note: described as a large portion of the developer market (the transcript suggests figures like “80% to 10%,” though the exact meaning is unclear).
      • Pros: Market size is relatively large.
      • Career advice: experienced candidates are preferred—gain experience before switching jobs; large IT conglomerates hire frequently.
      • Salary note:
        • Starting salaries: around 32 million won (for both app and web, per the transcript).
        • After 3–5 years, web developers can earn significantly more.
      • Recommendation: the speaker prefers web development due to high demand across these two fields.

    3. Network Engineer

      • Focuses on analyzing system networks, building/organizing networks conveniently, and maintenance.
      • Key advantage: you can get a job without knowing programming languages.
      • Employers prefer people who can handle various network devices rather than coding.
      • Trade-offs:
        • Salary tends to be lower, so high earnings require unique skills.
      • Security linkage: Networking is critical to security, so if you’re worried about security, you can pivot into security.
      • For higher salary potential: stay in security, but still continue studying programming for the future.

    4. White Hacker (Security / Vulnerability Defense)

      • The transcript distinguishes between:
        • “Black … attacks” (wording in the transcript appears corrupted): stealing personal information.
        • White hackers: research vulnerabilities, prevent attacks, and defend systems.
      • Framing: security is presented as critical to long-term career prospects.
      • Described as currently high-demand, with many challenges and things to learn.
      • Career advice: if you’re confident in your future in development/career, consider becoming a white hacker.

    5. Cloud Developer

      • Cloud computing is described as storing and modifying data in a virtual “cloud” environment (examples: Naver Cloud, Google Cloud).
      • Benefit: you don’t have to directly manage your own computers or run software yourself—the cloud handles it.
      • Enables sharing files/apps anytime and anywhere.
      • Work: developing cloud servers and related services.
      • Skill requirements: specialized knowledge across coding, networks, servers, and cloud systems.
      • University coverage: the speaker says cloud is rarely covered deeply in curricula.
      • Preparation advice: if you want a head start, attend a private academy.
      • Cloud development is described as involving a lot of memorization, but with enough effort, people can succeed.

    6. Artificial Intelligence (AI) Engineer / AI-related work

      • AI is described as software that can behave more “naturally” and help with complex tasks.
      • Examples mentioned:
        • Alpha 5 (presented as rivaling humans).
        • Autonomous vehicles that navigate forests without manual operation.
      • General description of AI development includes:
        • Developing software based on programming skills,
        • Testing for errors,
        • Correcting and improving,
        • Submitting research results,
        • Progressing toward “artificial intelligence” development (the transcript includes “iPod,” likely an error/misattribution).
      • Demand note (Korea): the speaker cites the Software Policy Research Institute, claiming a severe shortage of AI personnel—over 10,000 people short (the transcript references “this year, 2012,” which may be inconsistent due to transcript errors).
      • Advice: if interested in AI, take the opportunity to get a job quickly.

    7. IoT Developer (Internet of Things)

      • IoT is described as connecting devices and enabling actions based on information.
      • Example: an air conditioner sensor that adjusts temperature based on the environment, recognizes voice, and can help with charging via smartphone connection.
      • Responsibilities:
        • Develop systems so data can communicate between objects.
        • Work spans from system development and operating principles onward.
      • Motivation/prospects:
        • Emphasis on growing demand for convenience.
        • Strong prospects due to 4th Industrial Revolution technology.

Wrap-up / scope

  • The speaker claims they introduced jobs “up to 9,” but the transcript details 7 main ones.
  • They state there are many more Computer Engineering career options, but they stop here to avoid making the video too long.
  • They encourage viewers to ask about other jobs in comments or via a provided link.
  • Channel sign-off: “Employment Consultant Jayu.”

Methodology / instruction list (as presented)

  1. During university 3rd–4th year, decide a career direction/path early.
  2. Choose a career direction based on your school’s curriculum to learn basics quickly.
  3. When picking among developer roles:
    • If you want smartphone work → consider app developer.
    • If you want stronger growth/salary after experience → consider web developer; gain experience first before switching jobs.
  4. If you want easier entry without programming → consider network engineer, but plan for higher earnings via unique skills.
  5. If you care about higher salary potential and long-term growth:
    • Pivot toward security (networking is key to security),
    • Continue programming study even after getting a job.
  6. If you’re interested in defense and research vulnerabilities:
    • Consider becoming a white hacker due to high demand.
  7. For cloud:
    • If the curriculum lacks cloud coverage, prepare via a private academy.
  8. For AI:
    • Take advantage of the (claimed) AI talent shortage to enter jobs faster.
  9. For IoT:
    • Focus on systems enabling devices to communicate and improve daily convenience.

Speakers / sources featured

  • Employment Consultant Jayu (primary speaker/host)
  • Software Policy Research Institute (cited as the source of AI shortage data)
  • Naver Cloud (example cloud platform)
  • Google Cloud (example cloud platform)
  • Alpha 5 (example AI system)
  • iPod (mentioned in a way that appears inconsistent/possibly erroneous in the transcript)

Original video