Software Engineer, Embedded Software, Silicon

About This Role

This engineering role focuses on designing and developing software platforms, drivers, and tools for validating Google Tensor, operating across the entire silicon development lifecycle from pre-silicon FPGA emulation to post-silicon hardware. The engineer will work in environments ranging from bare metal to embedded Linux, collaborating with hardware and software partners to debug complex system-level issues and ensure product excellence.

Responsibilities

• Design, architect, and implement pre-silicon and post-silicon validation drivers and streaming frameworks for Google Tensor multimedia subsystems and cross-IP concurrency workloads
• Bring up and validate standalone IP and concurrent multi-IP pipelines across emulation (ZeBu), FPGA, and silicon milestones
• Build, optimize, and maintain automated test infrastructure, stress/concurrency benchmarks, and pre-/post-silicon CI regression suites
• Partner closely with cross-functional teams to root-cause bugs and harden Hardware Programming Guides (HPGs)

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience
• 2 years of experience with low level systems programming languages (e.g., C or C++) for embedded systems or SoC platforms
• Experience with bare metal, Kernel level device driver development and hardware bringup

Nice to have:

• Experience in embedded systems design, development, and debugging
• Experience with emulation platforms and silicon bring up
• Experience with embedded Linux, little kernel, or Android platform development
• Experience with multimedia subsystems (e.g., Camera/ISP, Codec, GPU, Display), or hardware concurrency, DMA/memory management, and pre-/post-silicon validation (emulation, FPGA, or silicon debug)

About the Company

Google's mission is to organize the world's information and make it universally accessible and useful. The team combines the best of Google AI, Software, and Hardware to create radically helpful experiences, researching, designing, and developing new technologies and hardware to make computing faster, seamless, and more powerful.