Foster a culture of productivity and innovation by actively supporting your peers and managers.
Collaborate across teams to ensure the continued success and evolution of the AI-driven software and large-scale systems that define our technical landscape.
Develop scalable engineering solutions for Google products.
Analyze information and evaluate results to choose the best solution to effectively solve issues.
Apply knowledge gained in computer science courses to real world challenges.
Minimum qualifications:
Currently pursuing a Master's program with a focus in software development, research, or other technical related fields.
Experience with one or more general purpose programming languages (e.g., Java, C/C++, Python, JavaScript, Go, etc.).
Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization.
Experience with data structures, algorithms, and software design.
Preferred qualifications:
Research experience in algorithms, architecture, artificial intelligence, compilers, database, data mining, distributed systems, machine learning, networking, or systems.
Experience in designing and implementing a complex system, for production or experimental use.
Experience with performance, reliability, systems data analysis, visualization tools, or debugging.
Excellent engineering skills.
