Google

Google welcomes people with disabilities.

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 3 years of experience in ASIC performance or power modeling, management, optimizations, and post-silicon characterization.
• Experience with SoC architecture and use case datapath with performance and power management concepts.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience with performance for memory system and multimedia IPs in mobile SoCs (e.g., ISP, codecs, display processor).
• Knowledge of the impact of software and architectural design decisions on system power and thermal behavior.
• Experience in software power optimizations (e.g., Android, Linux) and post-si power productization work.
• Experience in programming (e.g. Python) and database analysis (e.g. SQL).

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.

Responsibilities

• Create use case workload and data flow models for DoU (day of use) power evaluation.
• Drive power and performance optimizations through SoC generations.
• Perform post-silicon profiling for power and performance model correlation.
• Collaborate with architecture team on power-performance trade-off analysis for engineering reviews and product roadmap decisions.