Senior GPU System Architect, Silicon

Google; Mountain View (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google is seeking a hardware architect to advance GPU performance in the Tensor SOC family and to deliver cutting-edge silicon that powers consumer devices. You will analyze workloads and pair architectural decisions with software, graphics pipelines, and system integration to maximize performance and efficiency.

Collaborating with Product Management, Google Research, and device teams, you will shape features and requirements for GPUs, while coordinating with GPU Software and Android teams to

Qualifications

• Bachelor's degree in Electrical/Computer Engineering, CS or equivalent practical experience.
• 8 years of experience with computer architecture concepts, pipelining, or memory subsystems.
• Experience with system architecture or GPU workload analysis and optimization.

Responsibilities

• Drive GPU architecture for the Tensor SoC based on GPU workload analysis, including high-end games, UI and ML.
• Propose system level architectural features/requirements to improve overall SoC performance on GPU workloads.
• Work with Product Management, Google Research, and device teams to bring compelling experiences leveraging GPUs to Google.
• Work with GPU Software, Android teams to optimize the software stack for GPU workloads.

Skills

Computer architecture

Pipelining

GPU workload analysis

Education

Bachelor's degree or equivalent

Tools

Vulkan

OpenGL

OpenCL

Android OS

Firmware

ARM-based systems

Job description

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with computer architecture concepts, pipelining, or memory subsystems.
• Experience with system architecture or GPU workload analysis and optimization.

Preferred qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience developing and analyzing workloads for GPUs.
• Knowledge of GPU architecture and graphics pipelines.
• Knowledge of Vulkan, OpenGL, OpenCL, Android OS, Firmware.
• Knowledge of ARM-based system architecture concepts.

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.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

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

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Drive Graphics Processing Unit (GPU) architecture for the Tensor SOC based on GPU workload analysis, including high-end games, UI and ML.
• Propose system level architectural features/requirements to improve overall SoC performance on GPU workloads.
• Work with Product Management, Google Research, and device teams to bring compelling experiences leveraging GPUs to Google.
• Work with GPU Software, Android teams to optimize the software stack for GPU workloads.

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 .