Software Engineer, Embedded Software, Silicon
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Minimum qualifications:
- 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.
Preferred qualifications:
- 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 job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a Software Engineer on the Silicon Validation team, you will design and develop the software platform, drivers, and tools essential for validating Google Tensor. Your software will operate across the entire silicon development lifecycle, from pre-silicon FPGA emulation to post-silicon hardware, running in environments that span bare metal to embedded Linux. You will collaborate closely with cross-functional hardware and software partners, applying a deep understanding of the SoC architecture to debug complex system-level issues and ensure product excellence.
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
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).
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