Minimum qualifications:

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

　　3 years of experience analyzing and optimizing performance/power on Mobile SoCs running Android OS

　　Experience with hardware performance monitors, profiling, or tracing tools in Android (systrace, Perfetto, or simpleperf)

　　Experience evaluating ML workloads for Image, Audio, or Vision

　　Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture

　　Experience with On-device ML/compute optimization

　　Experience in performance and power optimization

　　Knowledge in one or more of these areas: Qos tuning, bandwidth and latency analysis, scheduler, DVFS governor, power state control, thermal management, device driver

　　Knowledge in one or more of these areas: CPU, GPU, ISP, Memory, Caches

　　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 $124,000-$182,000 + 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 for new hire 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

　　Perform performance, power, thermal analysis in both qualitative and quantitative fashion effectively.

　　Identify performance bottlenecks across workloads on Mobile SoCs and suggest potential optimizations to improve Performance/Power.

　　Identify Software/Hardware architectural optimizations for mobile/tablet workloads (ML Gen-AI, Browsing, Camera, etc.).

　　Evaluate architectural options, trade-offs (CPU Cache sizing, Core configuration, Memory controller QoS, etc.) and develop architecture proposals/justification.

　　Perform deep-dive analyses for CPU, GPU, ML Gen-AI, and Memory bound workloads.