Firmware Engineer (Embedded Systems & Jetson Platforms)

Company Description A Digital Innovation & Transformation Company Role Description This is a full-time on-site role for a Firmware Engineer specializing in Embedded Systems and Jetson Platforms, based in New Delhi. The role involves designing, developing, and debugging embedded software, implementing firmware solutions, and collaborating with the electrical engineering team. The Firmware Engineer will work on software development for ARM architecture, optimize device performance, and ensure seamless integration of firmware with hardware components. Key Responsibility Firmware Development: Design, develop, and optimize embedded firmware for microcontrollers, ARM-based processors, and Jetson platforms. Jetson Platform Development: Work with NVIDIA Jetson Nano, TX2, Xavier, AGX Orin , and related tools for edge AI applications. Jetson SDK & CUDA Integration: Implement and optimize CUDA-based processing and leverage NVIDIA JetPack SDK for AI and embedded computing. System Integration: Collaborate with hardware and software teams to integrate firmware with Jetson modules, sensors, and peripherals . Embedded Systems Programming: Develop efficient, low-level C/C++ and Python code for real-time and AI-driven applications . Device Driver Development: Create and optimize Linux kernel drivers for peripherals such as UART, SPI, I2C, and GPIO. RTOS & Bare Metal Development: Implement firmware solutions using FreeRTOS or other real-time operating systems. Connectivity & Communication Protocols: Work with Ethernet, Wi-Fi, BLE, MQTT, Modbus, CAN, and USB . Power & Performance Optimization: Optimize low-power firmware and AI inferencing performance on Jetson platforms. Testing & Debugging: Utilize Jetson Debug Tools, Nsight Systems, JTAG, oscilloscopes, and logic analyzers for testing and debugging. Documentation & Compliance: Maintain detailed documentation and ensure firmware meets industry standards and safety regulations. Qualifications 3+ Experience in firmware development for embedded systems, including Jetson-based applications . Strong proficiency in C, C++, Python , and embedded Linux development. Hands-on experience with NVIDIA Jetson SDKs, CUDA, TensorRT, and DeepStream . Experience with RTOS-based and bare-metal embedded development . Strong understanding of ARM Cortex architectures and microcontroller programming . Familiarity with Jetson tools (JetPack SDK, Nsight Systems, DeepStream, GStreamer, L4T, cuDNN) . Hands-on experience with debugging tools like JTAG, UART, SPI/I2C sniffers . Knowledge of Git, CI/CD pipelines , and software version control systems. Preferred Qualifications: Experience with AI/ML inferencing on edge devices using TensorRT . Knowledge of secure boot, encryption, and cybersecurity for embedded devices . Experience in medical, automotive, or industrial firmware development . Understanding of FPGA programming and hardware acceleration techniques. Proficiency in OpenCV, GStreamer, ROS (Robot Operating System), or TensorFlow for embedded AI applications .