تدريب Shadowing: Is Embedded Systems Still a Good Career in 2026? - تعلم التحدث بالإنجليزية عبر الفيديو
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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.
تنزيل التطبيق
كل ما تحتاجه للتحدث بطلاقة
تقييم النطق بالذكاء الاصطناعيتقييم كل جملة
تدريب IPAأتقن كل صوت
المفرداتابنِ رصيدك من الكلمات
لعبة المفرداتتعلّم أثناء اللعب
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المفردات وملاحظات التحدث لهذا الدرس
يحتوي هذا الفيديو على 85 جملة و1010 كلمة للتدرب على الترديد. مدة الكلام 7:58. يتكلم المتحدث بسرعة ثابتة، نحو 127 كلمة في الدقيقة، وهي سرعة مريحة للترديد. 81% فقط من الكلمات ضمن أكثر 3,000 كلمة شيوعًا في الإنجليزية، فالمفردات صعبة نسبيًا.
أهم المفردات في هذا الفيديو
15 كلمة من الفيديو تستحق التعلّم، مع النطق والمعنى:
| الكلمة | النطق | المعنى |
|---|---|---|
| hardware اسم | /ˈhɑɹdˌwɛɹ/ | مَتاع الحاسب, المَتاع |
| skill اسم | /skɪl/ | مَهَارَة |
| connect فعل | /kəˈnɛkt/ | رَبَطَ |
| layer اسم | /ˈleɪ̯ɚ/ | طَبَقَة |
| fundamental صفة | /ˌfʌn.dəˈmɛn.təl/ | أَسَاسِيّ |
| requirement اسم | /ɹɪˈkwaɪɹmənt/ | مَطْلَب, طَلَب |
| robotics اسم | /ɹoʊˈbɑ.tɪks/ | رُوبُوتِيَّة, عِلْمُ الرُّوبُوتَات |
| cloud اسم | /ˈklaʊ̯d/ | سَحَاب, غَيْم |
| wash فعل | /wɑʃ/ | غَسَلَ |
| compare فعل | /kəmˈpɛɚ/ | قَارَنَ |
| select فعل | /sɪˈlɛkt/ | اِخْتَارَ |
| helpful صفة | /ˈhɛlp.fl̩/ | نَافِع, مُفِيد |
| efficient صفة | /ɪˈfɪʃənt/ | فَعَّال |
| resource اسم | /ɹɪˈzɔːs/ | مَوْرِد |
| salary اسم | /ˈsæləɹi/ | رَاتِب, أَجْر |
القواعد في هذا الفيديو
أكثر التراكيب التي يستخدمها المتحدث، مع العبارات نفسها من الفيديو:
| التركيب | في الفيديو |
|---|---|
| المبني للمجهول be + اسم المفعول — التركيز على ما يحدث لا على من يفعله | I've been asked · is embedded · is projected |
| جمل الوصل who / which + جملة — معلومة إضافية عن شخص أو شيء | somebody who now · people who make · anyone who is |
| المضارع التام have/has + اسم المفعول — حدث ماضٍ ما زال له أثر الآن | I've been asked · has become |
نطق يحتاج إلى انتباه
يستخدم المتحدث 11 من الصيغ المختصرة، مثل don't, I'll, I'm. انطقها بصيغتها القصيرة كما تسمعها.
- أصوات “sh” و“zh”: wash /wɑʃ/, efficient /ɪˈfɪʃənt/, compensation /ˌkɑm.pənˈseɪ.ʃən/, sunshine /ˈsʌnʃaɪn/, automation /ˌɔ.təˈmeɪ.ʃən/
- الكلمات الطويلة — انتبه لموضع النبر: automotive /ˌɔtəˈmoʊtɪv/, fundamental /ˌfʌn.dəˈmɛn.təl/, compensation /ˌkɑm.pənˈseɪ.ʃən/, importantly /ɪmˈpɔɹ.tənt.li/, invisible /ɪnˈvɪzəb(ə)l/
كيف تتدرب بهذا الفيديو
- استمع إلى الفيديو كاملًا مرة واحدة دون أن تتكلم، ودوّن الكلمات التي لا تعرفها.
- ردّد جملة جملة بالسرعة العادية، وكرّر كل جملة حتى يتطابق إيقاعك مع المتحدث.
- سجّل صوتك وقارنه بالأصل، مع الانتباه إلى كلمات مثل hardware, skill, connect.
ما هي تقنية التظليل الصوتي؟
التظليل الصوتي (Shadowing) تقنية تعلم لغة مدعومة علمياً، طُورت أصلاً لتدريب المترجمين الفوريين المحترفين. الطريقة بسيطة لكنها قوية: تستمع لصوت إنجليزي أصلي وتكرره فوراً بصوت عالٍ — كظل يتبع المتحدث بتأخير 1-2 ثانية. تُظهر الأبحاث تحسناً كبيراً في دقة النطق والتنغيم والإيقاع وربط الأصوات والاستماع والطلاقة.