Pratica di Shadowing: Is Embedded Systems Still a Good Career in 2026? - Impara a parlare inglese con i 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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Vocabolario e note di pronuncia per questa lezione
Questo video contiene 85 frasi e 1010 parole da ripetere con lo shadowing. Il parlato dura 7:58. Chi parla mantiene un ritmo costante di circa 127 parole al minuto, comodo per lo shadowing. Solo il 81% delle parole rientra nelle 3.000 più comuni dell’inglese, quindi il lessico è impegnativo.
Vocaboli chiave di questo video
15 parole del video che vale la pena imparare, con pronuncia e significato:
| Parola | Pronuncia | Significato |
|---|---|---|
| hardware sostantivo | /ˈhɑɹdˌwɛɹ/ | ferramenta |
| skill sostantivo | /skɪl/ | abilità, capacità |
| connect verbo | /kəˈnɛkt/ | connettere, connettersi |
| chip sostantivo | /t͡ʃɪp/ | frammento, scheggia |
| automotive aggettivo | /ˌɔtəˈmoʊtɪv/ | automobilistico |
| aerospace sostantivo | /ˈɛɹ.oʊˌspeɪs/ | aerospazio |
| layer sostantivo | /ˈleɪ̯ɚ/ | strato |
| fundamental aggettivo | /ˌfʌn.dəˈmɛn.təl/ | fondamentale |
| requirement sostantivo | /ɹɪˈkwaɪɹmənt/ | requisito |
| reliability sostantivo | affidabilità, attendibilità | |
| robotics sostantivo | /ɹoʊˈbɑ.tɪks/ | robotica |
| cloud sostantivo | /ˈklaʊ̯d/ | nuvola, nube |
| wash verbo | /wɑʃ/ | lavare |
| compare verbo | /kəmˈpɛɚ/ | paragonare |
| select verbo | /sɪˈlɛkt/ | scegliere, selezionare |
La grammatica di questo video
Le strutture che chi parla usa di più, con le parole esatte del video:
| Struttura | Nel video |
|---|---|
| Forma passiva be + participio passato — conta ciò che accade, non chi lo fa | I've been asked · is embedded · is projected |
| Frasi relative who / which + frase — un’informazione in più su una persona o una cosa | somebody who now · people who make · anyone who is |
| Present perfect have/has + participio passato — un’azione passata che conta ancora adesso | I've been asked · has become |
Pronuncia a cui fare attenzione
Chi parla usa 11 contrazioni e forme ridotte, come don't, I'll, I'm. Pronunciale nella forma breve, così come le senti.
- I suoni “sh” e “zh”: wash /wɑʃ/, efficient /ɪˈfɪʃənt/, compensation /ˌkɑm.pənˈseɪ.ʃən/, sunshine /ˈsʌnʃaɪn/, automation /ˌɔ.təˈmeɪ.ʃən/
- Parole lunghe — attenzione all’accento: automotive /ˌɔtəˈmoʊtɪv/, fundamental /ˌfʌn.dəˈmɛn.təl/, compensation /ˌkɑm.pənˈseɪ.ʃən/, importantly /ɪmˈpɔɹ.tənt.li/, invisible /ɪnˈvɪzəb(ə)l/
Come esercitarsi con questo video
- Ascolta tutto il video una volta senza parlare e annota le parole che non conosci.
- Fai shadowing frase per frase a velocità normale, ripetendo ognuna finché il tuo ritmo coincide con quello di chi parla.
- Registrati e confronta con l’originale, facendo attenzione a parole come hardware, skill, connect.
Cos'è la tecnica dello Shadowing?
Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.