Pedro Braga

From single-core to multicore — but you don’t have to start from scratch. 🚗⚙️ In automotive embedded systems, the shift to multicore is inevitable. But with safety-critical legacy code and real-time constraints, migrating from single-core isn’t just plug-and-play. That’s where our AUTOSAR expertise comes in. We contributed to the introduction of multicore into AUTOSAR with release 4.0.1 in 2009 and simultaneously developed the ETAS RTA-CAR BSW stack: a robust, field-proven solution that fully supports any customer use case. Built by engineers, for engineers —RTA-CAR at a glance: 🔧 Compact & efficient - Optimized for resource-constrained, low-latency real-time environments. 🛡️ Safety & security - Complies with industry standards like ISO26262 and ISO/SAE21434, along with MISRA-C & CERT-C guidelines. 🛠️ Versatile compatibility - Suitable for all ECU types, from smart sensors to vehicle computers, and adaptable for single and multi-OEM projects. ⚡Wide device support - Compatible with various target devices and integrates seamlessly with third-party MCALs and security solutions. 🚀 Proven success - Deployed on over 4 billion ECUs globally. We’ve summed up more exclusive insights and real-world cases to help you navigate the transition in a white paper. Download it now: https://brnw.ch/21wSQG3 #YourAmbitionIsOurMission #AUTOSARClassic

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Electrical and mechanical engineers often work side by side—but not together. Design misalignment, late discoveries, and endless re-spins don’t come from lack of skill—they come from disconnected workflows. In our latest Wevolver article, Altium's Filipa de Melo Sofio explores how breaking down ECAD–MCAD silos helps teams design faster, reduce errors, and build confidence across disciplines. Read the full article to see how modern hardware teams are turning collaboration into true co-creation. Read the article here: https://bit.ly/4oj7hdp #altium #wevolver #ECAD #MCAD #cocreation

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Engineering, to the power of AI. ⚙️ In embedded systems, a single oversight in a requirement, a design choice or a line of code can cost millions or even lives. That’s where AI makes the difference. With Expleo, engineering teams move from quality-by-testing to quality-by-design: ⏱️ Reduce Hardware-in-the-Loop testing time and costs by up to 30% 🛠️ Minimise unscheduled maintenance by up to 50% with AI-driven predictive maintenance 🛡️ Add extra safety features with ultra-light EdgeAI virtual sensors Our experts help you design smarter from the start, so you can deliver safer systems, faster testing and fewer failures. 👉 Discover how to elevate product performance, to the power of AI: https://expleo.to/3JYLQ1E #ToThePowerOfAI

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Brutal Reality: Hardware abstraction layers are often more trouble than they're worth Let’s address a brutal reality: Most hardware abstraction layers (HALs) in embedded systems create more problems than they solve, adding layers of indirection that hide critical timing characteristics and introduce performance penalties you can’t afford. We’ve all been there: Told to "abstract the hardware" for portability, only to discover that the abstraction layer is now the bottleneck. You can’t toggle a GPIO without going through three function calls. You can’t optimize DMA usage because the HAL hides the register details. And when something goes wrong, you can’t debug it because the abstraction layer is a black box. I’ve debugged systems where the HAL consumed 60% of the CPU budget doing nothing but parameter checking and function call overhead. I’ve seen abstractions that prevented critical optimizations like register caching or DMA chaining. And I’ve watched teams waste months trying to make their "portable" HAL work on a new MCU, when rewriting the drivers from scratch would have been faster. Real embedded experts know that true portability comes from clean architecture, not thick abstraction layers. They understand that hardware-specific code should be isolated but not hidden. They know that sometimes, the best abstraction is no abstraction at all. 🔥 What's the most disastrous HAL you've ever worked with? Share your abstraction layer horror stories below, bonus points for performance numbers that made you cry! #EmbeddedSystems #HAL #HardwareAbstraction #Firmware #EmbeddedC #LowLevelProgramming #TechTruth #EmbeddedEngineering

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The Critical Role Of Safety Microcontrollers In ADAS And AD Applications. New Webinar: https://lnkd.in/d4bqBN-E Join us for an in-depth exploration of the critical role Safety Microcontrollers (MCUs) play in Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) applications. This webinar, presented by Infineon Technologies, aims to provide a comprehensive understanding of the functionalities and indispensability of Safety MCUs, particularly in contrast to the nascent Safety Islands within System on Chips (SoCs). Discover why OEMs continue to rely on external Safety MCUs, such as Infineon's AURIX™, despite the common availability of Safety Islands in modern automotive SoCs. Key takeaways: ✅ Essential Role of Safety MCUs: Safety MCUs are a cornerstone of a proper FUSA concept for ADAS/AD applications, such as domain controllers, smart cameras, LiDARs, and radars. ✅ Critical Functions of Safety MCUs: Safety MCUs supervise actuator commands, provide emergency response, monitor the health of all critical components, offer gateway functionality, and support an independent real-time software environment. ✅ Advantages of AURIX™ Safety MCUs: AURIX™ is the technically proven solution due to its best-in-class scalability, extensive AUTOSAR and safety software portfolio, and ability to handle fail-operational use cases. ✅ Limitations of Safety Islands: Safety Islands in SoCs lack the comprehensive feature set and hardware separation that dedicated Safety MCUs offer; hence, they cannot replace them.

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You're starting a job in the software team at Shapeways. You'd expect to be diving into the code, right? Not so fast. When new engineers join Tiago São José's team at Shapeways, they don’t start by writing code. Instead, they spend a day in production — packing boxes, shipping orders and using the tools they’ll be developing. Because developing the best software comes from understanding how its used in the real world, and knowing the people who use it. ▶️ In this clip, Tiago explains why empathy is at the heart of engineering. See the full video on our blog: https://lnkd.in/e_QZQKC8

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Last week, Bootlin engineer João Marcos Costa delivered our popular "Embedded Linux system development" training course on-site in Germany for Mobileye! Thanks to this training course, participants could learn about: 👉 Embedded Linux architecture 👉 Cross-compilation toolchains 👉 Booting embedded platforms: bootloaders, TF-A, OP-TEE 👉 Linux kernel configuration, build and booting 👉 Linux root filesystem architecture 👉 Accessing hardware in Linux: kernel drivers, Device Tree, etc. 👉 Filesystems for block and flash storage 👉 Cross-compilation and build systems such as Yocto or Buildroot 👉 Developing and debugging user-space applications

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Embedded systems do not live only on our desks—they power devices in the field, often in locations where physical debugging is not feasible. This is where remote debugging becomes essential! Why is remote debugging crucial? - Reduces costly field visits  - Speeds up troubleshooting & issue resolution  - Ensures high firmware quality over time  - Enables proactive monitoring for large fleets In our latest DevAcademy exercise, “Exercise 4 - Remote Debugging with Memfault”, we explore how to use Memfault to debug deployed devices remotely, gaining real-time insights into system performance and failures. What we cover in the exercise: - Setting up a Memfault account and integrating it with an nRF Connect SDK project - Collecting and analyzing diagnostic data  - Simulating firmware crashes and debugging with full system state snapshots - Explore Cellular, Wi-Fi, or Bluetooth LE transports to send diagnostic data   Memfault’s SDK, deeply integrated with our nRF Connect SDK, empowers engineers to fix issues before users even notice them—from development to production. Ready to level up your debugging skills? #RemoteDebugging #ZephyrRTOS #NordicDeveloperAcademy #nRFConnectSDK

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Credentials shouldn’t depend on PDFs. And verification shouldn’t take days. NOVA IMS is now issuing academic credentials as Verifiable Credentials, using blockchain technology aligned with W3C standards, OpenID, and the EBSI pilot. It’s the first production rollout of its kind in Portugal, placing NOVA IMS among Europe’s early adopters. Students can store credentials in their own digital wallet and share proof of a qualification in seconds with employers and institutions – who can verify authenticity automatically, reducing friction and fraud risk. The NOVA IMS Academic Credential Portal was developed by the Nova Blockchain Lab at NOVA IMS, led by Joana Rodrigues Pereira, with development by Francisco Ribeiro. NOVA IMS Dean, Miguel de Castro Neto, highlights its value for students and employers: “As a public school, we have a responsibility to lead solutions that bring real value to the country and to higher education. We developed this technology within NOVA IMS, aligned with European standards, to better serve our students and employers.” Full article: https://lnkd.in/dUpa-XaK #NOVAIMS #DataVisionaries #DataScience #ArtificialIntelligence #AI

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FPGA engineers are among the most technically gifted people in engineering, often sitting at the intersection of hardware, low-level software, and performance optimization. Many FPGA experts are working on incredible projects in aerospace, defense, telecom, or automotive, but haven’t explored the world of HFT and electronic trading, where their skill sets are directly transferable, and hugely valued. In trading, the hardware isn’t just a support function, it’s the competitive edge. Latency is measured in nanoseconds, and every FPGA design decision can impact millions in daily PnL. Here’s why I think a move into the trading industry can be a game-changer for FPGA engineers: ·        Impact – Your work directly influences real-time performance and trading outcomes. ·        Compensation – Packages in top HFT firms often far exceed traditional engineering sectors. ·        Technology Freedom – Small, elite teams using cutting-edge boards, NICs, and custom toolchains — minimal bureaucracy, maximum performance. ·        Environment – Surrounded by software and hardware engineers from the world’s best quantitative firms, all pushing limits of what’s possible in hardware acceleration. If you’ve ever wondered what it’s like to apply your FPGA expertise where every nanosecond counts, the HFT space is worth a serious look. #FPGA #HFT #Engineering #Hardware #LowLatency #Trading #Careers

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Thermal challenges don’t appear at deployment. They’re baked into your FPGA the moment you define the architecture. If you ignore leakage, switching density, and hotspots early on, you’re signing up for throttling and redesign later. But if you plan for them, you unlock performance that lasts. #fpga #fpgadesign #thermalmanagement

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🔊 Meet IAV SonicSeek – Smarter Acoustic Diagnostics IAV SonicSeek uses AI to detect and classify abnormal sounds in real time — helping prevent damage, reduce maintenance costs, and improve quality assurance across industries. From automotive infotainment systems to production machinery and wind turbines, SonicSeek captures live acoustic data and analyzes it via cloud or edge computing to pinpoint issues before they escalate. 🧠 Developed with TU Braunschweig, SonicSeek combines advanced neural networks with a scalable, cloud-based pipeline — adaptable for automotive, energy, aerospace, and beyond. ✅ Fast fault detection ✅ Easy system integration ✅ Scalable, modular design 🔍 Experience a new standard in intelligent diagnostics. 👉 https://lnkd.in/gSi4Rh6r

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💯 Embedded Systems: The Hidden Brains Behind Modern Technology Have you ever wondered what makes your washing machine run its cycles automatically, or how your car’s engine is so precisely controlled? That’s the power of Embedded Systems. 🔹 An Embedded System is a combination of hardware and software, designed to perform a dedicated function with efficiency, reliability, and often real-time constraints. From microcontrollers in home appliances to sophisticated processors in aircraft systems, embedded technology powers the devices we use every day. 📌 Key Takeaways from Embedded System Basics Components: Hardware (processors, timers, memory, I/O) + Software (application + RTOS) Constraints: Limited memory, processor speed, and low power usage Classifications: Small Scale (8/16-bit MCUs, battery-operated devices) Medium Scale (16/32-bit MCUs, DSPs, RTOS) Sophisticated (scalable/configurable processors, high complexity) Applications: Automotive, aerospace, medical, consumer electronics, telecom, and more ⚡ In today’s world, every smart device is an embedded system in disguise. As engineers, our challenge is to balance performance, cost, energy efficiency, and reliability—to design systems that don’t just work, but last. 👉 What’s the coolest embedded system you’ve worked on or come across? #EmbeddedSystems #Electronics #Microcontrollers #Engineering #Innovation

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