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Google·SaaS·1 month ago
1 month ago

Senior Embedded Firmware Engineer, DSP, Google Cloud

Tel Aviv, IsraelFull-timeSenior · 7+ yearsFirmware Engineer

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Top 10%Top 10%: 52 out of 100

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Must-have skills for this role

  • c/c++
  • digital signal processing
  • firmware
  • hardware abstraction layer

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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.

What they're looking for

  • 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).

Nice to have

  • 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.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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.

Responsibilities:

  • 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.

Minimum qualifications:

  • 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).

Preferred qualifications:

  • 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.
SaaS

Company

GoogleSaaS
Tel Aviv, Israel

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Google's careers site·first seen 31 Aug 2026·last verified 15 Sept 2026·How we source jobs

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