Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 2 years of experience with data structures or algorithms.
  
• 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging
  
• Experience in performance modeling, performance analysis, and workload characterization.
  

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or other technical related field.
  
• Experience in modern, high-performance CPU/ML architecture and micro-architecture.
  
• Ability and interest to learn other coding languages as needed.
  
• Excellent object-oriented, database design, and SQL skills.
  

In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the CPU, SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

• Design, develop, test, deploy, maintain, and improve CPU software modeling and other software tools.
• Manage individual project priorities, deadlines, and deliverables.
• Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.