AI/ML System Performance Architect, Silicon

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  
• 5 years of experience working with Mobile/Embedded SoCs at use cases level power and performance analysis.
  

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  
• Experience with python or other scripting-based languages.
  
• Experience driving system architecture decisions.
  
• Experience with Android Architecture, Mobile SoC architecture, ML architecture, Computer Architecture, PPA trade-offs.
• Power and performance modeling and projection experience.
  
• Comprehensive knowledge of interactions between software and different IP blocks, general and special purpose compute units.
  

About the job

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data center facility, including construction and equipment installation/troubleshooting/debugging with vendors.

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 $150,000-$223,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Influence Tensor SoC architecture decisions for optimal Power, Performance, and Area (PPA) working cross-functionally with architects, software, and research teams.
  
• Conduct E2E use cases power and performance profiling through objective measurements, simulation, or modeling.
• Provide data analysis/report/projection to identify the inefficiencies across SW/HW design on existing and future HW platforms.
• Propose and architect system design solutions through SW/HW co-design that meet power, performance, and area goals to deliver end-to-end advanced use cases experience powered by Google’s AI research.