Senior Silicon Engineer GPU

Minimum qualifications:

• Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience in device driver development (e.g., Linux/Android Kernel or RTOS).
• Experience in GPU architectures (e.g., pipelines, memory hierarchies, and command submission).
• Experience with graphics or compute APIs (e.g., Vulkan, OpenGL ES, or OpenCL).
  
  

Preferred qualifications:

• Masters degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• 8 years of experience with GPU Compiler interactions or Low Level Virtual Machines (LLVM)-based backends or GPU performance improvement.
• Experience with pre-silicon emulation environments (Palladium, Zebu, or Veloce) and developing and debugging native code on Android.
• Knowledge of Memory Management Units (IOMMU/GMMU), power management, and interrupt handling.
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and how they leverage GPU kernels.
• Track record of shipping production-quality drivers for high-volume consumer electronics.
  
  

About The Job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Googles direct-to-consumer products. Youll 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.

As a Senior Graphics Processing Unit (GPU) Silicon Engineer in the Google Silicon team, you will be at the forefront of defining how our custom-designed hardware interacts with the entire software stack. You will drive the architecture and implementation of kernel-mode and user-mode drivers that power everything from high-end mobile graphics. You arent just writing code, you are bridging the gap between hardware intent and software execution.

Responsibilities

• Design, implement, and maintain GPU drivers (Kernel and User mode) for custom Google Silicon.
• Lead the first-light activities for new GPU IP on pre-silicon (emulation/FPGA) and post-silicon platforms.
• Profile and optimize the driver stack to eliminate bottlenecks, reduce overhead, and improve power efficiency.
• Implement and support industry-standard Application Programming Interfaces (APIs) such as Vulkan, OpenCL, and potentially proprietary compute extensions for Machine Learning/Artificial Intelligence (ML/AI).
• Partner closely with GPU Architects, Register-Transfer Level (RTL) Designers, and Operating System (OS) teams (Android/Linux) to influence future hardware features and software interfaces.
  
  
  

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 Googles 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 .

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