Embedded Software Engineering Sr. Technical Leader | C, C++, BSP, SONiC, Device Driver, Linux, Kernel | 12 + years

Overview

Lead embedded software engineering for Cisco's Common Hardware Group, focused on the Diagnostic/BSP team that builds BIOS, BSP and diagnostics for Core and Edge routing products.

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.
• Prior experience in hardware and device driver development, including Linux hardware bring-up, multi-threading, event handling, and state machine implementation.
• Prior experience with Sonic, ONIE, BMC, IPMI, and/or Redfish technologies.
• Prior 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 knowledge of Layer 2/3 network protocols, network processors, optical networking, secure-boot, open-source tools, CMIS, and SFF standards (SFP, QSFP).