Minimum qualifications:

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Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.

• 1 year of experience coding in C/C++.
• Experience with embedded systems/firmware design.

Experience working with networking (e.g., Remote Direct Memory Access (RDMA) or packet processing and system design principles.

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Preferred qualifications:

• Experience with hardware design (e.g., computer architecture or chip design).
• Experience with SoC cycles.
• Ability to work with device level hardware and software, especially in a lab environment.

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About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

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Responsibilities

• Build C/C++ firmware running on embedded processors with limited memory footprints on the SoCs.
• Develop tools to update and debug the firmware, enable emulation, chip bringup, and hardware debugging.
• Play key roles in emulation, chip bring up, and SoC deployment, and contribute to all layers of the data center software stack to deploy SoCs to production.
• Create code generators to generate C++ code based on hardware specifications.

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