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Updated 2026-06-10 13:00 UTC·© 2025–2026 RoleSuite
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Embedded Firmware Engineer, Digital Signal Processing

Google · Sunnyvale, CA, USA

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

In this role, you will architect the control-plane software for the entire high-speed Physical Layer (PHY). You will lead the development of complex state machines for link training and auto-negotiation that allow Google’s AI clusters to communicate reliably at next-generation data rates.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $279000 (USD) + 20% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Minimum qualifications:

  • 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.

Preferred qualifications:

  • Master's or PhD degree in Electrical Engineering, Computer Engineering, or a related technical field.
  • Experience in pre-silicon emulation or firmware bring-up and validation.
  • Experience leading the firmware delivery for a major silicon tape-out.
  • Knowledge of ethernet (802.3) and PCIe protocol stacks and physical layer management.
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