Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of experience in software development using general-purpose programming languages, with a focus on C++.
• Experience with data structures and algorithm design.
• Experience designing, building, and maintaining large-scale distributed computing systems.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Computer Engineering, or a related technical field.
• Experience applying artificial intelligence to create a software.
• Demonstrated experience taking end-to-end ownership of complex technical projects and successfully launching impactful features in production environments.
• Familiarity with data analysis and querying languages, such as SQL, to make data-driven decisions regarding fleet performance.
• Familiarity with Google-internal development tools and build systems like Blaze.
• Deep understanding of operating systems internals, resource management (CPU, memory), and system performance optimization.

About the job

Responsibilities

• Design, develop, and maintain clean, reliable code to enhance the Autopilot system, leveraging AI to optimize how memory and compute resources are allocated across applications.
• Lead the end-to-end life-cycle of new features, from initial planning and design to launch, ensuring they operate safely and effectively in production environments.
• Address large-scale engineering challenges by identifying ways to increase system efficiency, enabling infrastructure to manage millions of tasks concurrently without performance degradation.
• Maintain system reliability by investigating software issues, debugging code, and actively monitoring operations to ensure Autopilot runs smoothly for all dependent applications.
• Collaborate closely with teammates and partner engineering groups to understand requirements, conduct code reviews, and share innovative ideas for building better infrastructure tools.