쉐도잉 연습: Is Embedded Systems Still a Good Career in 2026? - 영상으로 영어 말하기 배우기
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Hey, everyone.
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Welcome back to the channel.
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My name is Florian Leitner -Fischer.
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I'm a professor for computer science and specializing in embedded systems.
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And on this channel, we talk about the fascinating world where software meets hardware.
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Today, I want to tackle a big question that I've been asked by students, by colleagues and people in the industry,
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and that is, is embedded systems still a good career choice in 2026.
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So let's break this down together.
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I'll give you the honest picture, where the opportunities are, where the challenges are, what skills you need to stay ahead in 2026 and onwards.
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But first, let's clarify what we mean by embedded systems.
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We're talking about computers that don't look like computers.
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Microcontrollers, chips, boards So that's it.
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Inside your car, your washing machine, your drone, your coffee maker, your medical devices, even a smart toaster.
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So they're tightly embedded with hardware.
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The field covers both hardware and software.
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So you need to know both to really be a good embedded software or embedded systems engineer.
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Often with constraints that we have there like low power,
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limited memory, real -time requirements and very high reliability because quite often we are using the products in a safety critical environment.
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So while software engineering in general may make people think of cloud apps,
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web apps, distributed systems, embedded engineers work at the invisible but critical layer that makes all of that technology possible.
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Now, is this still a good career in 2026?
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Let's talk about the market trends.
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The truth is, demand is growing.
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Every industry is getting smarter, more connected.
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Cars today are basically computers on wheels.
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Technical devices are turning into connected diagnostic tools.
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And industry 4 .0 factories rely heavily on embedded controllers.
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According to market reports, the global embedded system market is projected to keep expanding, driven by electric vehicles, IOT,
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robotics, aerospace, and even AI chips.
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So in terms of demand, yes, embedded systems is absolutely still relevant and growing.
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Even though some of the industries we talked about, like automotive, seem to be in decline right now,
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the jobs that are growing within the industry are still the ones that are focusing on embedded systems.
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But of course, here's the nuance.
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The type of embedded engineer that companies want is evolving as well.
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It's no longer enough just to know how to write bare metal C code for a microcontroller.
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You still need that foundation, but companies increasingly look for hybrid skills.
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C and C++ for performance critical code.
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Python for testing and automation, knowledge of real -time operating systems like FreeAutos,
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Sapphire, QNX, familiarity with hardware description, debugging with oscilloscopes, logic analyzers,
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and importantly, understanding communication protocols, CAN, SPI, I2C, Ethernet, Bluetooth Low Energy, and so on.
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And all together, paired with a fundamental and very good understanding of software engineering practices,
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engineering practices, systems engineering, requirements engineering,
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because quite often embedded systems are used in a very process -centered world like automotive, like aerospace with.
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And even though they become more agile, they're still safety critical.
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So we still need a lot of documents, things to, in the end, show that they are safe.
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And of course, let's not forget security with IoT and connected devices everywhere.
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Cybersecurity has become a must -have skill for embedded engineers.
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Of course, it's not all sunshine and roses.
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Let's be real.
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Embedded systems can be challenging, deadlines are tight, debugging is painful,
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and you often work with hardware that is incomplete or undocumented or not yet even completely existing.
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Tools can be expensive and sometimes you're the bridge between the hardware and software teams for the application layer,
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which means you need very strong communication skills, not just technical ones.
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Also, compared to trendy software jobs like web development,
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salaries in Embedded might not always look as high as the first stats.
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But in specialized industries like automotive, aerospace and medical, compensation can be excellent.
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So what about the long term?
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I think Embedded is one of the most future -proof career paths.
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Why?
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because while frameworks programming languages and front -end libraries come
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and go the fundamental skills of working close to hardware understanding timing resource constraints and reliability
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safety security these never go out of style in fact with the rise of ai
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and the edge energy efficient chips and real -time robotics,
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the need for embedded engineers who can optimize software for limited hardware is increasing.
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These are skills that a large language model or a code generator can just replace easily.
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So if you are a student
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or somebody who now is selecting what you should study
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or a young engineer wondering whether to jump into embedded systems in 2026 my advice is absolutely yes
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but with a growth mindset don't just stop at the microcontroller
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tutorials learn how your code interacts with the hardware learn networking learn security
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and get comfortable with open source artos platforms also build projects share them maybe even contribute to open source,
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that's what will set you apart.
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At the end of the day, embedded engineers are the people who make sure the physical world and the digital world actually connect.
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And that role is only becoming more important.
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All right, that's my take on whether embedded systems is still a good career choice in 2026.
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Spoiler, yes it is and it's getting more exciting every year
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and now of course i'm interested in your take what do
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you think where are embedded systems going to in the next
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years let me know in the comments below also i will now start to make videos more frequently again
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so if you have questions
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that you want me to cover in one of these videos please also put those questions in the comments below
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if you like this video found it helpful please give it a thumbs up
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or subscribe to the channel or do both
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and share it with anyone who is thinking about a career in tech or in embedded systems Thanks for watching,
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and I'll see you in the next one.
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추천 영상
이 레슨의 어휘와 말하기 포인트
이 영상에는 섀도잉할 문장 85개와 단어 1010개가 있습니다. 말하는 구간의 길이는 7:58입니다. 화자는 분당 약 127단어의 일정한 속도로 말해서 섀도잉하기에 편한 속도입니다. 영어에서 가장 많이 쓰이는 3,000단어에 속하는 단어가 81%뿐이라 어휘가 어려운 편입니다.
이 영상의 핵심 어휘
영상에 나오는 익혀 둘 만한 단어 15개를 발음, 뜻과 함께 정리했습니다.
| 단어 | 발음 | 뜻 |
|---|---|---|
| hardware 명사 | /ˈhɑɹdˌwɛɹ/ | 하드웨어, 굳은모 |
| skill 명사 | /skɪl/ | 기술, 스킬 |
| connect 동사 | /kəˈnɛkt/ | 잇다, 연결하다 |
| chip 명사 | /t͡ʃɪp/ | 칩 |
| layer 명사 | /ˈleɪ̯ɚ/ | 층 |
| fundamental 형용사 | /ˌfʌn.dəˈmɛn.təl/ | 기본적 |
| requirement 명사 | /ɹɪˈkwaɪɹmənt/ | 요구 |
| robotics 명사 | /ɹoʊˈbɑ.tɪks/ | 로봇공학, 로봇학 |
| cloud 명사 | /ˈklaʊ̯d/ | 구름 |
| wash 동사 | /wɑʃ/ | 씻다 |
| compare 동사 | /kəmˈpɛɚ/ | 비교하다, 비유하다 |
| select 동사 | /sɪˈlɛkt/ | 고르다 |
| efficient 형용사 | /ɪˈfɪʃənt/ | 효율적인 |
| resource 명사 | /ɹɪˈzɔːs/ | 자원 |
| salary 명사 | /ˈsæləɹi/ | 급료, 봉급 |
이 영상의 문법
화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.
| 문형 | 영상 속 표현 |
|---|---|
| 수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점 | I've been asked · is embedded · is projected |
| 관계절 who / which + 절 — 사람이나 사물에 대한 추가 정보 | somebody who now · people who make · anyone who is |
| 현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때 | I've been asked · has become |
주의할 발음
화자는 don't, I'll, I'm 같은 축약형과 약화된 형태를 11번 사용합니다. 들리는 대로 짧게 발음하세요.
- “sh”와 “zh” 소리: wash /wɑʃ/, efficient /ɪˈfɪʃənt/, compensation /ˌkɑm.pənˈseɪ.ʃən/, sunshine /ˈsʌnʃaɪn/, automation /ˌɔ.təˈmeɪ.ʃən/
- 긴 단어 — 강세 위치에 주의: automotive /ˌɔtəˈmoʊtɪv/, fundamental /ˌfʌn.dəˈmɛn.təl/, compensation /ˌkɑm.pənˈseɪ.ʃən/, importantly /ɪmˈpɔɹ.tənt.li/, invisible /ɪnˈvɪzəb(ə)l/
이 영상으로 연습하는 방법
- 먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
- 보통 속도로 한 문장씩 섀도잉하고, 화자의 리듬과 맞을 때까지 반복합니다.
- 자신의 목소리를 녹음해 원본과 비교하고, hardware, skill, connect 같은 단어에 특히 주의합니다.
쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법
쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.


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