Embedded Hardware & Software Engineer

Embedded Systems Engineer

Role Overview
Develop and optimize embedded computing solutions for AI-driven products across Industries like robotics.

-Design firmware and drivers for edge devices.
-work with Jetson Platform and ARM-based systems.
-Ensure real-time performance, stability, low -power efficiency.
-Experience with NVIDDIA Jetson/SoC platforms preferred.

• Telecommunications companies developing 5G infrastructure and edge computing devices

Definition of the Role

• Design and develop firmware and low-level software for microcontrollers and embedded processors
• Interface with hardware components including sensors, actuators, communication modules, and display systems
• Implement real-time operating systems and develop time-critical applications
• Optimize code for memory usage, power consumption, and processing efficiency
• Debug hardware-software integration issues using specialized tools and oscilloscopes
• Develop device drivers and hardware abstraction layers for custom hardware platforms
• Implement communication protocols for networking, wireless, and industrial applications
• Ensure system reliability, safety, and compliance with industry standards and regulations

Unlike application software developers who work with abundant system resources, Embedded Systems Engineers must optimize every aspect of their code to work within severe constraints while meeting strict timing and reliability requirements. They must understand both hardware capabilities and software design principles to create effective embedded solution

• Programming Languages: C, C++, assembly language, and embedded-specific languages like Rust
• Microcontroller Platforms: ARM Cortex, AVR, PIC, ESP32, and RISC-V architectures
• Real-Time Operating Systems: FreeRTOS, VxWorks, QNX, and bare-metal programming
• Hardware Interfaces: SPI, I2C, UART, CAN, USB, and other communication protocols
• Development Tools: Cross-compilers, debuggers, JTAG, oscilloscopes, and logic analyzers
• Circuit Analysis: Understanding of analog and digital circuits, power management, and signal integrity
• Safety and Standards: ISO 26262, IEC 61508, DO-178C, and industry-specific safety requirements
• Wireless Technologies: WiFi, Bluetooth, LoRaWAN, Zigbee, and cellular communication protocols

Specialized knowledge areas that enhance career prospects:

• Digital signal processing (DSP) and algorithm implementation for real-time systems
• Power management techniques for battery-operated and energy-harvesting devices
• Cybersecurity for embedded systems and secure boot implementation
• Machine learning inference on edge devices and AI accelerator integration
• Functional safety analysis and hazard assessment methodologies