PRINCIPAL EMBEDDED SOFTWARE ENGINEER

Elite Corporate Solutions is seeking an experienced Embedded Software Engineer to support the development of firmware and embedded software for advanced imaging and AI-enabled systems. This opportunity will focus on embedded architecture, microcontroller and RTOS development, Embedded Linux, real-time image processing, and multispectral camera integration while providing technical guidance and mentorship to engineering teams.

Responsibilities

• Define software and firmware architecture for microcontroller and application-processor platforms using FreeRTOS, Zephyr, and Embedded Linux.
• Develop production-quality C/C++ firmware, device drivers, board support packages (BSPs), middleware, and applications.
• Lead board bring-up, bootloader development, peripheral integration, and hardware/software debugging.
• Design real-time systems with reliable task scheduling, interrupt handling, synchronization, and inter-task communication.
• Integrate cameras and sensors across the imaging spectrum, from visible light to LWIR, including sensor control, acquisition, synchronization, and calibration.
• Develop and optimize image signal processing (ISP) pipelines for image quality, low latency, and efficient use of embedded resources.
• Develop, integrate, and deploy AI/ML algorithms at the edge for ISP functions such as image enhancement, denoising, and detail restoration.
• Implement and optimize image fusion algorithms that combine complementary information from visible and thermal cameras.
• Address multi-camera image registration, alignment, synchronization, and real-time processing requirements.
• Develop Linux camera and multimedia components using V4L2, ISP pipelines, and GStreamer where applicable.
• Deploy and optimize AI/ML inference workloads on NPUs and other supported embedded accelerators.
• Optimize latency, throughput, memory usage, startup time, power consumption, and system reliability.
• Develop secure boot, firmware update, OTA, diagnostic, and recovery capabilities.
• Lead technical reviews, mentor engineers, and drive development from prototype through production.

Required Qualifications

• 10+ years of embedded software or firmware development experience, including technical leadership on complex products.
• Strong C and C++ programming skills for resource-constrained embedded systems.
• Deep expertise in RTOS-based development or Embedded Linux, with the ability to work across platforms. Our designs use FreeRTOS, Zephyr, and Embedded Linux; expertise in all three is not required.
• Strong understanding of real-time scheduling, interrupts, concurrency, synchronization, and memory management.
• Hands-on experience with device drivers, BSP development, board bring-up, and hardware/software integration.
• Experience with microcontrollers, microprocessors, and ARM-based platforms.
• Working knowledge of interfaces such as I2C, SPI, UART, USB, I2S, or PCIe.
• Practical debugging experience using GDB, JTAG/SWD, oscilloscopes, and logic analyzers.
• Demonstrated ability to resolve system-level performance, power, and reliability issues.
• Ability to set technical direction, mentor engineers, and communicate effectively across disciplines.
• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

Preferred Qualifications

Experience in the following areas is helpful. Candidates are not expected to have experience with every technology listed.
• FreeRTOS: Task architecture, queues, semaphores, event groups, timers, and memory management.
• Zephyr: Device drivers, devicetree, Kconfig, west, and board support.
• Embedded Linux: Kernel programming, device drivers, Yocto, Buildroot, and bootloader integration.
• Bare-metal firmware: Peripheral initialization, interrupt service routines, DMA, and hardware abstraction layers.
• Camera systems: Integration of visible and infrared cameras, including LWIR thermal sensors, camera synchronization, and sensor calibration.
• Imaging and video: ISP algorithm development and tuning, computational imaging, V4L2, GStreamer, and low-latency pipelines.
• Image fusion: Multispectral imaging, visible/thermal fusion, image registration, spatial alignment, and temporal synchronization.
• Edge AI/ML: Embedded deployment of models for image enhancement, denoising, super-resolution, or image fusion.
• Inference optimization: Model quantization, profiling, memory optimization, and NPU or other hardware acceleration.
• Low-power design: Sleep modes, power management, DVFS, and battery-powered systems.
• Connectivity: Wi-Fi, Bluetooth/BLE, Ethernet, USB, and embedded networking.
• Embedded security: Secure boot, signed firmware, OTA updates, and recovery mechanisms.
• Engineering tools: Python, Git, CMake, GCC, automated testing, CI/CD, and hardware-in-the-loop testing.
• Master’s degree in a relevant engineering discipline.