We use PostHog and Clarity to improve the site, and Meta Pixel to measure page views and ad effectiveness. Usage data may include page addresses and browser identifiers. You can opt out of collection at any time. Details in the Privacy Policy
Senior Embedded Firmware Engineer, DSP, Google Cloud at Google · Trevo
More fit checks, tailored CVs, and complete prep for every role.
Job Description
About the role
In most instances, this position requires in-person interviews as part of the hiring process.
What you'll do
Design and implement real-time embedded C/C++ code for data path control, management, and telemetry.
Develop low-level drivers and Hardware Abstraction Layers (HAL) to interface with custom digital signal processing (DSP) hardware blocks and registers.
Implement and debug firmware-based adaptation algorithms for equalizer tap updates and gain control (VGA/TIA).
Write unit tests and participate in continuous integration flows to ensure firmware stability across hardware revisions and emulation platforms.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related technical field, or a equivalent practical experience.
7 years of experience in Embedded C/C++ programming.
Experience with Digital Signal Processing (DSP).
Master's or PhD degree in Electrical Engineering, Computer Engineering, or a related technical field.
Experience using Joint Test Action Group (JTAG), GDB, or Oscilloscopes.
Understanding of Fixed-Point arithmetic optimization for resource-constrained embedded systems.
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.
In this role, you will develop the real-time software "brain" of next-generation high-speed interconnects. You will write high-performance C/C++ code that manages critical power-on, reset, and calibration sequences, ensuring our custom silicon reaches peak performance and stability in milliseconds.
The ML, Systems, & 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.