Embedded Software Architect

16 hours ago


Islamabad, Islamabad, Pakistan beBee Careers Full time

Embedded Systems Design Engineer

We are seeking a skilled Embedded Systems Engineer to design, develop, and integrate real-time embedded solutions for mission-critical applications. This role involves working with microcontrollers, sensors, embedded GPUs, FPGAs, and real-time systems, focusing on hardware-software integration.

Key Responsibilities:

  1. Design and develop embedded software and firmware using C, C++, Python, and optionally Rust or Assembly.

  2. Work with Embedded Linux (Yocto, Buildroot, Kernel Development, Device Tree Configuration) and RTOS (FreeRTOS, Zephyr, VxWorks).

  3. Develop firmware for microcontrollers, embedded GPUs, DSPs, and FPGAs, ensuring real-time performance and optimization.

  4. Implement low-level drivers, middleware, bootloaders, and secure boot mechanisms.

  5. Develop and integrate real-time control systems with sensors, actuators, and high-speed communication interfaces.

  6. Work with communication protocols such as UART, SPI, I2C, CAN, RS485, Ethernet, PCIe, and USB.

  7. Optimize real-time processing, power efficiency, and memory management for embedded systems.

  8. Debug and troubleshoot hardware-software interactions using JTAG, oscilloscopes, logic analyzers, and embedded debugging tools.

  9. Ensure cybersecurity, encryption, and secure firmware development for embedded systems.

  10. Collaborate with hardware engineers for PCB design, system integration, and validation.

Requirements:

Bachelor's/Master's degree in Mechatronics, Electrical, Electronics, Computer Science, or a related field to Embedded Systems.

  1. Fresh or 1 year of experience in embedded system design, development, and integration.

  2. Proficiency in C and C++; deep experience with Python, Linux, Rust, or Assembly.

  3. Strong expertise in Embedded Linux development (drivers, kernel modules, file systems, debugging).

  4. Experience with RTOS-based and bare-metal programming.

  5. Hands-on experience with embedded GPUs (NVIDIA Jetson, Qualcomm, etc.) and high-performance computing.

  6. Strong background in hardware schematics, PCB designing and concepts, and debugging embedded hardware.

  7. Familiarity with safety-critical and defense-grade standards (DO-178C, MIL-STD-810, ISO 26262).

  8. Experience in AI/ML acceleration for embedded platforms (TensorRT, CUDA, OpenCV) is a plus.

Preferred Qualifications:

Experience with sensor fusion, autonomous systems, and real-time control applications.

  • Understanding of FPGA-based processing and hardware acceleration.
  • Knowledge of secure firmware development, cryptographic security, and trusted execution environments.
  • Familiarity with ROS (Robot Operating System) for embedded robotics applications.


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