Senior GPU System Architect, Silicon

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

Job summary

Google is seeking an experienced engineer to drive GPU architecture for the Tensor SoC, based on GPU workload analysis across high-end games, UI, and ML. You will propose system-level features to boost overall SoC performance and collaborate with product, research, and device teams to deliver compelling GPU-powered experiences.

The role requires deep knowledge of computer architecture and GPU pipelines, with emphasis on Vulkan/OpenGL/OpenCL and ARM-based systems, and will involve optimizing the

Qualifications

• Bachelor's degree 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.
• Master's or PhD preferred with emphasis on computer architecture.

Responsibilities

• Drive GPU architecture for the Tensor SoC based on GPU workload analysis.
• Propose system level architectural features to improve SoC performance on GPU workloads.
• Collaborate with Product Management, Google Research, and device teams to bring GPU-powered experiences to Google.
• Work with GPU Software and Android teams to optimize the software stack for GPU workloads.

Skills

Computer architecture

Pipelining

Memory subsystems

GPU workload analysis

System architecture

GPU workload optimization

Education

Bachelor's degree

Master's or PhD in EE/CE/CS

Tools

Vulkan

OpenGL

OpenCL

Android OS

Firmware

ARM architecture

Job description

MINIMUM QUALIFICATIONS:

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

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Electrical Engineering, Computer Engineering orComputer 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 solutionsthat power the future of Google's direct-to-consumer products. You\'ll contributeto the innovation behind products loved by millions worldwide. Your expertisewill shape the next generation of hardware experiences, delivering unparalleledperformance, efficiency, and integration.

Google\'s mission is to organize the world\'s information and make it universallyaccessible and useful. Our team combines the best of Google AI, Software, andHardware to create radically helpful experiences. We research, design, anddevelop new technologies and hardware to make computing faster, seamless, andmore 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

Learn more about benefits at Google[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

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