Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience in the Machine Learning field.
• 5 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
  
• Experience with distributed systems.

Preferred qualifications:

• Master's degree or Ph D in Computer Engineering, Electrical Engineering, or Computer Science, or a related field.
  
• Experience with large-scale distributed systems, computer architecture, networking, related software infrastructure including low level performance analysis, memory/storage systems, ML/AI methods.
  
• Knowledge of concurrency, parallelism, synchronization, consistency, events, scheduling, communications, and overhead in software and hardware systems.
  
• Knowledge of silicon architecture and design with the ability to root cause performance bottlenecks.
  
• Expertise in any of the following: Operating Systems, Networking systems, Storage systems, Analytics, Machine Learning, working with distributed query processing and deep functional flows.
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.