Senior GPU System Architect, Silicon

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

Job summary

Google Mountain View, CA, USA is seeking a Senior/Staff-level engineer to drive GPU architecture development for Tensor SOC and related workloads. You will analyze GPU workloads, propose system-level features, and collaborate with Product Management, Google Research, and device teams to deliver high-performance hardware experiences.

In this role you’ll contribute to custom silicon solutions powering consumer products, shaping performance, efficiency, and integration across software and hardware

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.

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

System architecture experience

GPU workload analysis

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.

Job description

Google Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

X In most instances, this position requires in-person interviews as part of the hiring process.

• 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

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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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