Staff Systems Architect, Advanced Research and Development

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 or experience with Linux kernel development, related to memory management, file systems, or power management.
• 5 years of experience working with Mobile/Embedded SoCs architecture or end-to-end use case system design.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• 10 years of experience in hardware/software co-design, with a focus on computer architecture/accelerator architecture or Linux kernel development.
• Experience driving system architecture decisions across software/hardware teams within an organization to build up the consensus and translate ideas into architecture specifications.
• Experience in Linux kernel and Android architecture.
• Knowledge of computer architecture, mobile System on a Chip (SoC) architecture, and Machine Learning (ML) architecture.

About the job

Be part of a diverse 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 advise the research and development of innovative software/hardware co-designed solutions that optimize system performance and power and introduce groundbreaking technologies that solidify Tensor's position as the leading SoC platform. You will be included in identifying emerging technologies, conducting feasibility studies, prototyping solutions, and collaborating with cross-functional teams to accelerate the integration of these technologies into Tensor's product roadmap, and delivering a productized vertically integrated solution. You will be responsible for proposing and designing the architecture specification for these solutions, working closely with design and software implementation teams to ensure successful realization of your goal. You will play a critical role in the entire life-cycle of technology development from initial research and proof-of-concept to product implementation and user adoption.

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.

The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Lead the development of architecture research proposals, encompassing specifications, design documentation, workload analysis, and performance modeling, to drive the future of Tensor SoC architecture. Lead these proposals through the entire development life-cycle, guiding evolution from concept to a vertically integrated solution deployed within the SoC.
• Collaborate with software/hardware architects, design teams, and research teams to drive critical Tensor SoC architecture decisions that deliver user experience on Pixel phones.
• Utilize a data-driven approach, employing on-goal profiling, simulation, and modeling to build consensus and guide architectural decisions across the silicon organization, and solve challenging system design problems under ambiguous and dynamic requirements.