Senior Engineer - Software Design (Platform Firmware)

About the Role

We are looking for an experienced Embedded Software Engineer to develop low-level firmware and platform software for next-generation SoCs/ASICs. You will work across the product lifecycle, from pre-silicon enablement to post-silicon bring-up, collaborating with cross-functional teams to deliver high-quality embedded software.

Key Responsibilities

• Design, develop, and maintain embedded firmware for SoCs/ASICs.
• Develop bootloaders, BSPs, device drivers, and Hardware Abstraction Layers (HAL).
• Develop pre-silicon firmware for simulation, emulation, and FPGA platforms.
• Support silicon bring-up, board bring-up, hardware validation, debugging, and production enablement.
• Develop and optimize firmware for performance, power, memory, and reliability.
• Debug hardware/software issues using JTAG, GDB, Lauterbach, oscilloscopes, and logic analyzers.
• Collaborate with hardware, validation, verification, and architecture teams.
• Participate in code reviews, design reviews, and technical documentation.
• Mentor junior engineers and contribute to subsystem development.
• Utilize AI-powered tools to improve development productivity and documentation.

Required Qualifications

• Bachelors or Masters degree in Computer Science, Electronics, Electrical Engineering, or a related field.
• 4-7+ years of embedded firmware/software development experience.
• Strong programming skills in Embedded C and Python.
• Experience with bootloaders, BSPs, device drivers, HAL, and RTOS (FreeRTOS/Zephyr).
• Knowledge of ARM/RISC-V architectures and interfaces such as SPI, I2C, UART, USB, and Ethernet.
• Strong debugging skills using JTAG, GDB, Lauterbach, oscilloscopes, and logic analyzers.
• Experience with silicon/board bring-up and hardware-software integration.
• Excellent problem-solving, communication, and collaboration skills.

Preferred

• Experience with simulation, emulation, or FPGA-based development.
• Familiarity with CI/CD, Git, and AI-powered development tools.

Experience with artificial intelligence (AI) powered tools and technologies used to enhance productivity, analysis, and decision-making

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