Embedded Software Engineering Technical Leader

Overview

Technical leader role in Cisco's Common Hardware Group (Diagnostic/BSP team), developing BIOS, BSP, diagnostics and device-driver software for Cisco's network switches and routers.

What you'll do

• Architect and develop BIOS, BSP, and diagnostics for Cisco's Core and Edge routing products.
• Design, develop, and test device drivers for FPGA and high-speed networking peripherals.
• Develop and execute software test plans.
• Collaborate with cross-functional teams to debug prototypes and validate software.
• Innovate and drive unique software, hardware, and technology solutions with a global impact on Cisco's product portfolio.
• Utilize deep technical expertise for complex consultations and act as an expert both internally and externally.
• Shape technology and industry trends to enable a competitive advantage and ensure long-term business impact.

What you'll need

• Bachelor's degree in Electrical Engineering, Computer Science, or related field with 14+ years experience, or Master's degree with 12+ years experience.
• Current experience in C, C++, and Python programming for embedded systems.
• Experience in hardware and device driver development, including Linux hardware bring-up, multi-threading, event handling, and state machine implementation.
• Experience with Layer 2/3 network protocols, network processors, optical networking, secure-boot, open-source tools, CMIS, and SFF standards (SFP, QSFP).
• Experience developing, debugging, and validating embedded systems using protocols such as I2C, SPI, UART, PCIe, GPIO.

Nice to have

• Prior experience in kernel debugging tools such as GDB and KGDB.
• Experience leading board bring-up, validation, and debugging of embedded systems.
• Ability to develop software from concept through delivery for large-scale, high-bandwidth systems.
• Prior experience with troubleshooting skills for software defects from kernel modules to applications.
• Prior experience in collaborative system design, specification writing, and requirements review.
• AI/ML experience and AI Native development.