#EmbeddedSystems

[mayursb]

Super Tiny RP2040/ESP32 Display Development Board

Compact RP2040/ESP32 Powered Display board with Type-C connector, keeps it up to date, easier to use

Support us on Kickstarter today

[adafruit]

A mini USB hub to embed into projects 🔌🖥️💡🛠️🚀🔄🔧📏🎛️💻🔬🔋🤖🎮💼🧩🌐📲

If you have a project where you need to connect multiple devices to one usb port, naturally you'd use a USB hub. but if its inside a case and space is limited, or if you want to avoid having bulky cables, this breakout board with an SL2.1A chip could do the job. it only needs a few passives and a crystal and will provide 4 port outputs! we made it a nice compact 1.1"x0.8" and with a type C port it is fairly slim as well. great for use with single board linux computers or other USB host devices.

[siliconsignalsblog]

Configuring Zephyr: A Deep Dive into Kconfig

We presented The Zephyr Project RTOS and illustrated a personal best practice for beginning with "Zephyr" in an earlier blog post. A custom West manifest file is a great way to guarantee that your code is always at a known baseline when you begin development, as you saw in that blog post. Following the creation of your custom manifest file and the establishment of your baseline repositories using West, what comes next in your Zephyr journey?

Enabling particular peripherals, features, and subsystems is one of the first steps in putting embedded software into practice. Some MCU manufacturers, like STM32, Microchip, and TI, have tools in their IDEs that let developers add subsystems to their codebase and enable peripherals in their projects. These tools, however, are closely related to the MCUs that the vendors sell. Applying these tools' functionality to other MCUs is challenging, if not impossible.

However, we can enable a specific MCU subsystem or feature using a vendor-neutral mechanism provided by The Zephyr Project RTOS. For people like me who don't like GUIs, this mechanism can be used with a command line. The name of this utility is "Kconfig." I'll go over what Kconfig is, how it functions, and the various ways we can use it to incorporate particular features and subsystems into our Zephyr-based project in this blog post.

WHAT IS KCONFIG?

Kconfig is still utilized today as a component of the kernel compilation process, having been initially created as part of the Linux kernel. Kconfig has a particular grammar. Although fascinating, the specifics of how Kconfig is implemented in the Linux kernel are outside the purview of this blog post. Alternatively, if you're interested, you can read my article here: (https://www.linux-magazine.com/Issues/2021/244/Kconfig-Deep-Dive), which walks through the Kconfig source code. However, after seeing an example, it's simple to become familiar with the format of a "Kconfig"—the slang term for a specific configuration option. The Kconfig system consists of three primary components.

First, there is the collection of Kconfig files scattered across different OS codebase directories. For example, if we look under "drivers/led" within the Zephyr codebase, we see a file named Kconfig with the following contents:  menuconfig LED     bool "Light-Emitting Diode (LED) drivers"     help      Include LED drivers in the system configurationif LED...config LED_SHELL    bool "LED shell"    depends on SHELL    help      Enable LED shell for testing.source "drivers/led/Kconfig.gpio"...endif # LED

Using the if statement, the line that begins with "menuconfig" tells the Kconfig system that "LED" contains a number of feature options that are only visible if the "LED" feature is enabled. The user can then activate the "LED_SHELL" option if the "LED" feature is enabled. The result of this configuration option is a Boolean, which determines whether this feature is enabled or disabled, as the line that follows shows. If a configuration option refers to a particular configuration parameter, the result can also be an integer in addition to a Boolean. The line that starts with "depends" indicates that in order for the "LED_SHELL" feature to be visible, the "SHELL" feature needs to be enabled. As a result, only after the "LED" and "SHELL" features have been enabled will the "LED_SHELL" feature become visible. A more detailed explanation of the feature can be found in the two lines that begin with "help". Last but not least, the final line before the "endif" lets us refer to additional Kconfig files, which aids in classifying components. As though they were copied and pasted, the features of the referenced file are present in the current file. It is crucial to remember that the path to "source" comes from the Zephyr codebase's root.

HOW SHOULD YOU USE KCONFIG?

A collection of applications that enable users to enable or disable the features listed in all Kconfig files make up the second component of the Kconfig infrastructure. Zephyr provides a Visual Studio Code extension that enables users to carry out this task with a graphical user interface. For command line enthusiasts like myself, the VS Code extension provides an alternative to utilizing a graphical user interface. In order to configure Zephyr appropriately, the extension can accept a file, which is the final component of the Kconfig infrastructure and contains a set of configuration options that can be turned on or off. The following snippet shows an example. CONFIG_BT=yCONFIG_BT_PERIPHERAL=yCONFIG_BT_GATT_CLIENT=yCONFIG_BT_MAX_CONN=1CONFIG_BT_L2CAP_TX_MTU=250CONFIG_BT_BUF_ACL_RX_SIZE=254

There is nothing complicated about the file format. "CONFIG_" appears at the start of each line, and then the configuration option's name. After the "=" symbol, the line either ends with a "y" to activate the feature or a "n" to deactivate it. In the example above, we configure the stack parameters and activate the Bluetooth stack in Zephyr along with specific stack features. "prj. conf," which contains user-defined features, is the default file in the majority of Zephyr-based applications.

 

CONCLUSION

The Zephyr Project RTOS provides a robust, vendor-neutral mechanism called the Kconfig infrastructure that allows us to fully configure our entire application. It can be used to control particular subsystems and peripherals within the MCU in addition to turning on or off individual stacks within the RTOS and setting configuration parameters.

Ready to bring your embedded systems to life with optimized configurations and robust solutions? We specialize in hardware design and software development tailored to your project needs. Whether you're configuring peripherals or diving deeper into Kconfig for your Zephyr-based applications, our experts are here to support you every step of the way.

👉 Contact Us Today and let's transform your embedded ideas into reality!

[industrydesignservices]

Teksun offers Wearable Product Development Services, including low-power designs, smartwatches, wireless earbuds for connectivity with IoT devices, etc. To know more about browse: https://teksun.com/ Contact us ID: marketing@teksun.com

[forlinx]

🚀 ​Powering the Future of EV Charging with FET-MA35-S2 SoM! As electric vehicles revolutionize transportation, charging infrastructure must keep pace. The ​FET-MA35-S2 SoM is here to supercharge your TCU designs!

✅ ​Dual-Core A35 + M4 Architecture: Seamlessly manage charging logic and real-time safety monitoring. ✅ ​17x UART, 4x CAN-FD, 2x Gigabit Ethernet: Connect meters, BMS, cloud platforms, and more—no extra chips needed! ✅ ​Military-Grade Security: TSI, AES/SHA encryption, and secure boot protect data and payments. ✅ ​Industrial Toughness: Thrives in -40°C to 85°C and passes EMC tests for outdoor reliability. ✅ ​Smart UX & OTA Updates: Drive 1080P displays, voice prompts, and remote AI maintenance.

With Forlinx Embedded's FET-MA35-S2, accelerate your TCU development and build smarter, safer charging piles. Let's fuel the EV revolution together! ⚡🔋

[auckam]

Dive into the world of IoT and embedded systems with our beginner’s guide! Learn how smart devices are built, why they matter, key building blocks, common challenges, and simple tips to start your own product journey. Perfect for tech enthusiasts, students, and innovators ready to create the future!

[rapidise]

A Comprehensive Guide for Embedded Software Development for Medical Devices 

As a reality check, the embedded software development life cycle of a medical device is not only challenging, but it is also sophisticated in regard to the value proposition it presents to the healthcare payers and patients. Consequently, as the field of medicine continuous to evolve, these tools become more complex as their operations are managed by embedded software which needs to be integrated with the system in a way that guarantees safe and effective operation. This in-depth tutorial will guide you through the development embedded software for medical devices and all regulatory considerations that must be addressed.

Grasping the Regulatory Framework

Manufacturers of medical devices will always be bound by the numerous laws from the Federal Drug Administration (FDA) concerning effectiveness and safety of medical devices. Starting March 2023, the FDA began restricting submissions of Software Bill of Materials (SBOM) unless there was a set cybersecurity strategy. By October 2023 the FDA started refusing to accept submission of devices that had cyber security problems.

The regulatory landscape requires manufacturers to:

Implement a risk-based approach to software design and testing Conduct thorough validation of software functionality and security

Ensure devices can detect and respond to security incidents

Establish processes for monitoring and reporting security issues

Conduct ongoing testing throughout the device's lifecycle

Key Components of Embedded Medical Device Software

Hardware-Software Integration

In medical devices, embedded systems must achieve full intergration of hardware parts and software. This is necessary to guarantee that the medical devices operate as needed and that safety regulations are satisfied.

Real-Time Operating Systems (RTOS)

Many medical devices use Real-Time Operating Systems because they require some degree of waiting time to perform an important task. Such OS’s are essential in time-sensitive operations. For embedded medical devices, RTOS frameworks like FreeRTOS and Zephyr are routinely deployed.

Software Architecture

The structure has to be modular, so that later maintenance, testing, and validation would be easier. That also helps meet regulatory standards because tracking requirements to be enacted is simplified.

Read Also: Integrating Hardware and Software in Embedded Systems Development

The Development Process

Establishing a Regulatory Strategy Early

Prior to commencing any developmental work, formulate and put in writing a regulatory strategy that is aligned with the device's capabilities and goals. This becomes particularly critical in the case of Software as a Medical Device (SaMD), wherein modifying software becomes relatively easier than changing a hardware component.

Selecting the Right Development Team

Select the relevant personnel from the software policy team having working knowledge in cyber security, more so, if drastic changes are anticipated post initial launch of the product. Engage the services of engineers specialized in software development of medical devices as they have working knowledge of the required documentation for the device regulatory processes.

Programming Languages and Tools

Common languages used in embedded medical device development include:

C: Efficient and suitable for low-level memory management

C++: Provides object-oriented features for complex systems

Assembly: For performance-critical applications requiring direct hardware access

Rust: Offers memory safety features for developing secure systems

Implementing Security by Design

Security is not an add-on but a fundamental aspect of medical device software development. The FDA requires manufacturers to:

Conduct secruity risk assessments to identify potential vulnerabilities

Implement security controls to mitigate identified risks

Design software to be resilient against potential attacks

Ensure the ability to detect and respond to security incidents

Testing and Validation

Comprehensive Testing Approach

Testing should cover every aspect of the software, including:

Unit testing for individual components

Integration testing for combined components

System testing for the entire device

Performance testing under various conditions

Security testing to identify vulnerabilities

Documentation Requirements

Thorough documentation is essential for regulatory compliance. This includes:

Design specifications

Risk assessments

Test protocols and results

Validation reports

User manuals and technical documents

Post-Market Requirements

Getting regulatory clearance is just the beginning. Once your device is on the market, you must:

1. Maintain annual Establishment Registration

2. List your device(s)

3. Implement and maintain Quality Management System (QMS) processes

4. Document changes to software and assess regulatory impact

5. Be prepared for FDA audits

6. Run postmarket cybersecurity processes including periodic penetration tests and vulnerability scans

7. Conduct postmarket surveillance

8. Produce Unique Device Identifiers for new versions

Managing Software Updates

Yes, you can update your software after FDA clearance, and in fact, the FDA expects you to provide cybersecurity updates. However, significant changes may require a new 510(k) submission, possibly including new clinical or performance data.

Strategic planning around feature development is crucial. Consider creating key features that FDA needs to evaluate in version 1.0, then have your engineering team work on version 1.1 features while waiting for FDA review.

Best Practices for Success

Optimize code for performance, power consumption, and memory usage

Implement robust error handling mechanisms

Reuse code when possible to reduce development time

Provide thorough documentation for maintainability

Perform comprehensive testing to ensure code meets requirements

Raise sufficient funding for clinical performance validation, non-clinical testing, software documentation, and cybersecurity.

Conclusion

A greener tomorrow starts with better healthcare today, and embedded software for medical devices is at the forefront of this transformation. By integrating robust security measures, following regulatory guidelines, and implementing best development practices, manufacturers can create safe, effective medical devices that enhance patient care while maintaining compliance.

Let's build smarter, develop better, and create medical devices that care for both patients and healthcare providers. The truth is, embedded software development for medical devices is complex but essential for advancing healthcare technology and improving patient outcomes.

[cloudtopiaa]

Building a Real-Time IoT Temperature Monitoring System with ESP32, LM35 & DataStreamX

In a world driven by smart technology, real-time data monitoring has become essential — not just in industrial systems, but even in basic IoT applications like temperature sensing.

This post shows you how to build a complete IoT data pipeline using:

📟 ESP32 microcontroller

🌡️ LM35 temperature sensor

☁️ Cloudtopiaa’s DataStreamX — a powerful real-time data streaming engine

Whether you’re a beginner in IoT development or exploring edge computing for enterprise systems, this guide blends hardware, firmware, and cloud data streaming into one cohesive solution.

Project Overview: What We’re Building

We’ll build a real-time IoT system that:

Reads temperature using an LM35 sensor

Transmits it via MQTT protocol

Processes the data using DataStreamX (on Cloudtopiaa’s infrastructure)

Displays it on a live IoT dashboard

Use Cases: Industrial IoT Environmental monitoring Smart homes Embedded systems requiring real-time response

Components Required

ComponentDescriptionESP32 BoardWi-Fi-enabled microcontroller for IoTLM35 Temperature SensorAnalog sensor with linear outputJumper WiresFor connectionsBreadboardFor prototypingDataStreamX PlatformReal-time streaming and visualization

Hardware Setup

Connect LM35 to ESP32:

VCC → 3.3V

GND → GND

VOUT → Analog pin (e.g., GPIO34)

Power up your ESP32

Firmware: Code for ESP32

The ESP32 will:

Read analog voltage from the LM35 sensor

Convert it into Celsius

Publish the readings to DataStreamX every 5 seconds using MQTT

temperature = (analogRead(34) * 3.3 / 4095.0) * 100.0; // LM35 conversion

What is DataStreamX?

DataStreamX is a low-code, real-time data pipeline platform built into Cloudtopiaa’s cloud infrastructure. It helps developers to build resilient, scalable IoT systems easily.

Key Features:

MQTT Adapter for IoT sensors

Real-time dashboards

Event-based alerts

Edge-cloud synchronization

Secure data routing

Cloudtopiaa + DataStreamX = Instant, Scalable IoT

Setting Up DataStreamX on Cloudtopiaa

To set it up:

Log into: https://cloudtopiaa.com

Go to the DataStreamX dashboard

Create a new MQTT Adapter

Define:

Input Stream: Temperature sensor topic

Logic: (e.g., Trigger an alert if temp > 40°C)

Output Stream: Live dashboard visualization

Live Visualization: Monitor in Real-Time

Once your ESP32 starts publishing:

View real-time temperature plots

Monitor averages, minimum, and maximum values

Visualize it instantly on the Cloudtopiaa dashboard

Bonus: Trigger Smart Actions

You can create rules like:

If temperature > 50°C → Send an email alert

If temperature > 60°C → Automatically activate a cooling fan

Security & Scalability

Cloudtopiaa ensures:

🔒Encrypted communication

🔑 Role-based access control

🧾 Audit logs for compliance

📈 Scalability from 10 to 10,000+ sensors

Perfect for smart factories, research labs, and large-scale IoT deployments!

Real-World Applications

Smart Homes: Thermal alerts & automation Healthcare IoT: Patient room temperature monitoring Environmental Monitoring: Greenhouses & weather stations Industry 4.0: Machine cooling and predictive maintenance Education: STEM IoT projects with ESP32

What’s Next? Intelligent Automation

Cloudtopiaa is working to add AI feedback loops inside DataStreamX soon, enabling:

Predict overheating events

Auto-adjust environmental controls

Optimize energy consumption in real-time

Start Your IoT Journey Today

You don’t have to be a cloud architect or hardware expert to create an IoT system today. With Cloudtopiaa’s low-code dashboard, you can:

Connect your devices

Set data logic

Visualize everything in real-time!

Build with DataStreamX → Start Now

[takeoffprojectsservices]

Bring your imagination to life and hone your tech skills with Heartening Raspberry Pi projects that are more practical than theoretical. Raspberry Pi projects. No matter if you have interest in electronics, IoT, robotics, or automation-these projects prove to be suitable for Computer Science, Electronics, as well as Electrical engineering students. Construct authentic solutions for the world, improve your CV, and remain in front of the competition in technology!

Types of Raspberry Pi Projects for Engineering Students Raspberry Pi is truly the breakthrough invention that will take up engineering students building ground breaking yet real-time applications. Some of the most common types of Raspberry Pi projects are:

1. Through Internet of Things (IoT) projects, sensors and devices can be connected to the internet for making advanced homes, weather stations, or health monitoring systems.

2. Automate anything from lights and appliances to security systems with Raspberry Pi and Python.

3. Using motor drivers and Raspberry Pi, a robotic project would control robots that may be line followers or robotic arms.

4. AI and ML projects simulate basic image recognition, voice assistants, or face detection modelling in Python and TensorFlow Lite.

5. Networking is where mini-servers, VPNs, or network scanners can be made using Raspberry Pi.

6. Projects of Media and Entertainment create smart mirrors and media centers and also game emulators for some fun and learning.

7. Educational projects will create learning kits for kids, digital notice boards, or interactive classroom tools.

It is the best medium for undergraduate students who are interested in practical study in the domains of computer science, electrical, electronics, electronic systems, and telecommunications engineering.

[adafruit]

ESP32 ItsyBitsy is in final testing zOne!

OK, after a long hiatus, the ESP32 Itsy Bitsy prototypes are built and ready for testing! We first designed this board Feb 20, 2020 - and it's been waiting oh so patiently for its turn. The ESP32 Pico module packs 8 MB of flash and 2 MB of PSRAM. Despite its small size this board can handle fairly complex programs. This board is very small but has lots of pins, with a USB-serial converter, NeoPixel, reset and user button, Stemma QT connector, and a 5V-logic output specifically for driving NeoPixels. to do my final 'all in one' test we're reading temperature and humidity from an I2C sensor, sending it to IO, then reading back the onboard NeoPixel color from the dashboard. It's an excellent way to make sure the whole thing is working the way we like. Last up, we'll do a low-power test, and then it'll be ready for fabrication!

[quartz-components]

You can purchase the Arduino Leonardo R3 board for just Rs. 652.00 exclusively on quartzcomponents.com. This offer provides an affordable opportunity to acquire this versatile microcontroller board for your electronics and programming projects. Don't miss out on this budget-friendly deal!

[servotechinc78]

Model-Based Design Tools – Accelerating Innovation in Engineering and System Development

In today's competitive and fast-evolving engineering landscape, delivering high-quality products quickly and efficiently is essential. Whether you're developing automotive control systems, industrial automation solutions, or embedded software for smart machines, traditional design methods often fall short in meeting modern demands. Enter Model-Based Design (MBD)—a powerful, integrated approach that enables engineers to design, simulate, and verify systems in a virtual environment before physical prototypes are built.

At the heart of this methodology are Model-Based Design Tools, which streamline development, reduce risk, and enhance innovation. From concept to deployment, MBD tools help teams collaborate effectively, minimize errors, and deliver systems that perform as expected in the real world.

What Is Model-Based Design?

Model-Based Design is an engineering process that uses graphical models to represent the behavior, logic, and structure of a system. Unlike traditional code-centric approaches, MBD relies on visual representations—such as block diagrams, state machines, and simulations—to develop embedded systems and control algorithms.

These models are used throughout the entire development cycle: from system-level simulation and design, to code generation, verification, testing, and implementation. By leveraging a single, reusable model, engineers can ensure consistency across all stages, leading to better designs, faster development, and fewer bugs.

Key Features of Model-Based Design Tools

Model-Based Design Tools offer a wide array of capabilities that simplify and enhance engineering workflows. Some of the core features include:

🧩 Graphical Modeling

Create intuitive visual models of systems using drag-and-drop components, such as sensors, actuators, control logic, and feedback loops. This visual interface helps teams quickly prototype and iterate on design ideas.

⚙️ Simulation and Testing

Simulate system behavior under different conditions to evaluate performance, optimize parameters, and detect issues before implementation. Early-stage testing helps reduce costly late-stage redesigns.

🧠 Automatic Code Generation

Transform validated models into production-quality C, C++, or HDL code using tools like MATLAB® and Simulink®. This accelerates embedded software development while reducing human error.

🧪 Model Verification and Validation

Perform functional testing, requirement checks, and formal verification at the model level. This ensures that your system meets design requirements and regulatory standards.

🔄 Hardware-in-the-Loop (HIL) Simulation

Test models on real hardware or hardware simulators to validate behavior in real-time conditions. HIL testing bridges the gap between simulation and reality.

👥 Collaboration and Integration

Work collaboratively with cross-functional teams by integrating model-based tools with version control systems, requirement management platforms, and code repositories.

Benefits of Using Model-Based Design Tools

The advantages of implementing model-based tools in engineering projects are vast and impactful:

✅ Faster Development Cycles

By enabling rapid prototyping, simulation, and automatic code generation, MBD drastically reduces time-to-market compared to traditional methods.

✅ Improved Product Quality

Systematic verification and validation at every stage ensure robust, reliable systems with fewer bugs and post-release issues.

✅ Cost Savings

Fewer errors, reduced rework, and faster development translate directly into lower development costs.

✅ Enhanced Team Collaboration

With shared models and standardized workflows, cross-disciplinary teams can work together more efficiently and effectively.

✅ Scalable for Complex Systems

From small embedded systems to large-scale control architectures, MBD tools scale with the complexity of your application.

✅ Compliance and Certification Readiness

Model-Based Design supports the development of safety-critical systems, helping meet industry standards like ISO 26262, DO-178C, and IEC 61508.

Real-World Applications of Model-Based Design

Model-Based Design Tools are used across various industries to solve complex engineering challenges. Here are a few key application areas:

Automotive – Designing advanced driver-assistance systems (ADAS), powertrains, electric vehicle control systems, and infotainment features.

Aerospace – Developing flight control systems, navigation software, and fault-tolerant avionics.

Industrial Automation – Creating control systems for robotics, conveyors, packaging machines, and process automation.

Agricultural Technology – Powering autonomous tractors, irrigation control, and precision farming systems.

Medical Devices – Designing embedded control systems for ventilators, pumps, and diagnostic equipment.

Energy – Managing smart grid systems, battery management systems, and renewable energy integration.

Model-Based Design at Servotech

At Servotechinc, we integrate Model-Based Design into our engineering and development services to deliver high-performance, real-time control systems and embedded solutions. We specialize in MATLAB®, Simulink®, and other industry-leading MBD tools to:

Design and simulate control algorithms

Develop embedded software for microcontrollers and real-time systems

Conduct hardware-in-the-loop testing and validation

Generate certified production-ready code

Ensure compliance with industry safety standards

Our approach allows us to deliver customized, efficient, and scalable systems for clients across automotive, industrial, agricultural, and robotic sectors.

The Future of Engineering with MBD Tools

As products become increasingly intelligent and connected, the complexity of system development continues to rise. Model-Based Design is no longer a luxury—it’s a necessity. With its ability to integrate modeling, simulation, and code generation into one cohesive workflow, MBD empowers engineering teams to move faster, innovate boldly, and reduce risks at every stage.

Emerging trends such as digital twins, AI-driven modeling, and cloud-based simulation platforms will continue to push the boundaries of what Model-Based Design Tools can do. The organizations that embrace this methodology today will lead the industries of tomorrow.

Conclusion

Model-Based Design Tools represent a transformative approach to modern engineering—bridging the gap between design and deployment with speed, accuracy, and confidence. Whether you're building the next generation of smart machines or optimizing existing systems, MBD offers the tools you need to succeed.

At Servotech, we're proud to support clients with comprehensive Model-Based Design services that turn ideas into reality—faster, smarter, and better.

[shakshi09]

What are high-paying IoT job roles?

The Internet of Things (IoT) is one of the fastest-growing technological fields, creating numerous high-paying job opportunities. With businesses leveraging IoT for automation, smart devices, and data-driven decision-making, skilled professionals are in high demand.

Top High-Paying IoT Job Roles

IoT Solutions Architect – This role involves designing and implementing end-to-end IoT solutions. It requires expertise in cloud computing, networking, and security. IoT architects can earn between $120,000 to $160,000 annually.

IoT Security Specialist – Cybersecurity is a crucial concern in IoT networks. These specialists focus on protecting IoT devices and data from cyber threats, with salaries ranging from $110,000 to $150,000.

IoT Software Developer – Developers build applications for IoT devices, integrating hardware and software for seamless communication. Their salaries typically range between $90,000 and $140,000.

IoT Cloud Engineer – IoT devices generate vast amounts of data, requiring cloud-based solutions for storage and processing. IoT cloud engineers work with platforms like AWS, Azure, and Google Cloud, earning $100,000 to $145,000 per year.

IoT Data Scientist – Data scientists analyze IoT-generated data to derive insights for businesses. Strong skills in machine learning, AI, and big data tools can lead to salaries exceeding $120,000.

Embedded Systems Engineer – IoT devices rely on embedded systems for functionality. Engineers skilled in C, C++, and RTOS can earn between $85,000 and $130,000.

IoT Product Manager – They oversee the development of IoT products, bridging the gap between technical and business teams. Their salaries range from $110,000 to $150,000.

To enter this high-paying field, professionals can enhance their skills by enrolling in an Internet of Things Course.