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:
Pursuing a PhD program with a focus in software development or other technical related field.
Experience with one or more general purpose programming languages (e.g., Java, C/C++, Python, JavaScript, Go, etc.).
Experience working in Unix/Linux environments.
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.
Programming experience in one or more of the following: C/C++, C#, Java, JavaScript, Python Objective C, Go or similar.
Experience in computer science, with competencies in data structures, algorithms and software design.
