Staff Embedded Firmware Engineer, Digital Signal Processing
Company: Google
Location: Sunnyvale
Posted on: April 3, 2026
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Job Description:
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. About the job 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. The US base salary range for this full-time position
is $192,000-$278,000 bonus equity benefits. Our salary ranges are
determined by role, level, and location. Within the range,
individual pay is determined by work location and additional
factors, including job-related skills, experience, and relevant
education or training. Your recruiter can share more about the
specific salary range for your preferred location during the hiring
process. Please note that the compensation details listed in US
role postings reflect the base salary only, and do not include
bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities Define the software architecture for multi-core
embedded systems, manage memory maps, interrupt latency, and
inter-processor communication (IPC). Lead the implementation of
industry-standard link training and auto-negotiation protocols for
high-speed ethernet and custom interconnects. Optimize firmware for
time-to-link and power consumption, ensure the silicon stays within
strict thermal envelopes during heavy AI training workloads. Act as
the primary firmware interface for the RTL design team to define
register maps, APIs, and hardware or software boundaries.
Keywords: Google, Milpitas , Staff Embedded Firmware Engineer, Digital Signal Processing, Engineering , Sunnyvale, California
