Shadowing Practice: Is Embedded Systems Still a Good Career in 2026? - Learn English Speaking with Video
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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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Vocabulario y notas de pronunciación para esta lección
Este vídeo tiene 85 frases y 1010 palabras para practicar shadowing. La parte hablada dura 7:58. El hablante mantiene un ritmo constante de unas 127 palabras por minuto, cómodo para el shadowing. Solo el 81 % de las palabras está entre las 3.000 más comunes del inglés, por lo que el vocabulario es exigente.
Vocabulario clave de este vídeo
15 palabras del vídeo que vale la pena aprender, con su pronunciación y significado:
| Palabra | Pronunciación | Significado |
|---|---|---|
| hardware sustantivo | /ˈhɑɹdˌwɛɹ/ | hardware, soporte físico |
| skill sustantivo | /skɪl/ | destreza, habilidad |
| connect verbo | /kəˈnɛkt/ | conectar, empalmar |
| chip sustantivo | /t͡ʃɪp/ | astilla, cepa |
| automotive adjetivo | /ˌɔtəˈmoʊtɪv/ | automotor |
| aerospace sustantivo | /ˈɛɹ.oʊˌspeɪs/ | aeroespacio |
| layer sustantivo | /ˈleɪ̯ɚ/ | capa, tongada |
| fundamental adjetivo | /ˌfʌn.dəˈmɛn.təl/ | fundamental, cimental |
| requirement sustantivo | /ɹɪˈkwaɪɹmənt/ | exigencia, requisito |
| reliability sustantivo | fiabilidad | |
| robotics sustantivo | /ɹoʊˈbɑ.tɪks/ | robótica |
| cloud sustantivo | /ˈklaʊ̯d/ | nube, nimbo |
| wash verbo | /wɑʃ/ | lavar |
| compare verbo | /kəmˈpɛɚ/ | comparar, parangonar |
| select verbo | /sɪˈlɛkt/ | seleccionar, cribar |
Gramática en este vídeo
Las estructuras que más usa el hablante, con las palabras exactas del vídeo:
| Estructura | En el vídeo |
|---|---|
| Voz pasiva be + participio pasado — importa lo que ocurre, no quién lo hace | I've been asked · is embedded · is projected |
| Oraciones de relativo who / which + oración — información extra sobre una persona o cosa | somebody who now · people who make · anyone who is |
| Present perfect have/has + participio pasado — una acción pasada que sigue importando ahora | I've been asked · has become |
Pronunciación a tener en cuenta
El hablante usa 11 contracciones y formas reducidas, como don't, I'll, I'm. Dilas en su forma corta, tal como las oyes.
- Los sonidos de “sh” y “zh”: wash /wɑʃ/, efficient /ɪˈfɪʃənt/, compensation /ˌkɑm.pənˈseɪ.ʃən/, sunshine /ˈsʌnʃaɪn/, automation /ˌɔ.təˈmeɪ.ʃən/
- Palabras largas — cuida el acento: automotive /ˌɔtəˈmoʊtɪv/, fundamental /ˌfʌn.dəˈmɛn.təl/, compensation /ˌkɑm.pənˈseɪ.ʃən/, importantly /ɪmˈpɔɹ.tənt.li/, invisible /ɪnˈvɪzəb(ə)l/
Cómo practicar con este vídeo
- Escucha el vídeo entero una vez sin hablar y anota las palabras que no conoces.
- Haz shadowing frase por frase a velocidad normal, repitiendo cada una hasta que tu ritmo coincida con el del hablante.
- Grábate y compara con el original, prestando atención a palabras como hardware, skill, connect.
¿Qué es la Técnica de Shadowing?
Shadowing es una técnica de aprendizaje de idiomas respaldada por la ciencia, desarrollada originalmente para la formación de intérpretes profesionales y popularizada por el políglota Dr. Alexander Arguelles. El método es simple pero poderoso: escuchas audio en inglés nativo y lo repites en voz alta de inmediato, como una sombra que sigue al hablante con solo 1-2 segundos de retraso. A diferencia de la escucha pasiva o los ejercicios de gramática, el shadowing obliga a tu cerebro y músculos de la boca a procesar y reproducir simultáneamente patrones de habla reales. Las investigaciones muestran que mejora significativamente la precisión de la pronunciación, la entonación, el ritmo, el habla conectada, la comprensión auditiva y la fluidez al hablar, convirtiéndola en una de las metodologías más efectivas para la preparación del IELTS Speaking y la comunicación en inglés en el mundo real.