BSP Engineer, Google Cloud
Description For BSP Engineer, Google Cloud
Google is seeking a BSP Engineer for their Google Cloud team to join their Technical Infrastructure division. This role involves developing custom silicon solutions for Google's direct-to-consumer products, pushing boundaries in hardware experiences. The ideal candidate will have a strong background in silicon bring-up, functional validation, and embedded software development. They will be responsible for developing boot code, supporting hardware emulators, and contributing to post-silicon validation aspects. This position offers the opportunity to work on cutting-edge technology that powers Google's product portfolio, ensuring optimal performance and efficiency. The role requires expertise in ARM-based co-processors, FPGA, and silicon validation, making it an exciting opportunity for those passionate about hardware and software integration in cloud computing.
Responsibilities For BSP Engineer, Google Cloud
- Develop and boot code overall software infrastructure for post-silicon purposes, support hardware emulators, Field-programmable Gate Array (FPGA), and overall readiness for actual silicon. Be a focal point during chip bring-up
- Contribute in multiple post silicon validation aspects such as caching, memory management, interrupt handling, performance, power states transition, multi-core aspects, and more
- Assist in operating and maintaining the hardware emulation platform for pre-silicon integration and validation. Ensure validation provides functional coverage for a design
Requirements For BSP Engineer, Google Cloud
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
- 5 years of experience in silicon bring-up, functional validation over emulators, FPGAs, and silicon
- Experience in ramping a software environment from scratch over an ARM based (v7/v8) co-processors and with co-processors benchmarking
- Experience in functional tests for silicon validation (e.g., C, C++, or Python), or developing firmware and embedded software
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