The Embedded Firmware Engineer role focuses on shaping the future of AI/ML hardware acceleration at Google. You will work with cutting-edge TPU technology that powers Google's AI applications, contributing to the development of custom silicon solutions. The position involves architecting control-plane software for high-speed Physical Layer (PHY) and leading the development of complex state machines for reliable communication. You will be part of a team that drives innovation and delivers breakthrough capabilities to Google customers worldwide.

• Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related technical field.
• 10 years of industry experience in embedded firmware or digital signal processing (DSP) development.
• Experience with high-speed I/O (HSIO), high-bandwidth transceivers, or physical layer (PHY) control software.
• Experience in real-time operating systems (RTOS) and multi-threaded embedded programming.

• Define the software architecture for multi-core embedded systems, managing memory maps, interrupt latency, and inter-processor communication (IPC).
• Lead the implementation of industry-standard link training and auto-negotiation protocols for high-speed ethernet and custom interconnects.
• Optimize firmware for time-to-link and power consumption, ensuring the silicon stays within strict thermal envelopes during heavy AI training workloads.
• Act as the primary firmware interface for the RTL design team to define register maps, APIs, and hardware or software boundaries.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.