Software Engineer, Distributed Systems, Cluster Management, Autopilot

Requirements:

• 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.

Nice to haves:

• Master's degree or PhD in Computer Science, Computer Engineering, or a related technical field.
• Experience applying artificial intelligence to create 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.

What you’ll be doing:

• Design, develop, and maintain clean, reliable code to enhance the Autopilot system, leveraging AI to optimize memory and compute resource allocation.
• Lead the end-to-end life-cycle of new features, from planning to launch, ensuring safe and effective operation in production environments.
• Address large-scale engineering challenges by increasing system efficiency and enabling infrastructure to manage millions of tasks concurrently without performance degradation.
• Maintain system reliability by investigating software issues, debugging code, and actively monitoring operations for smooth Autopilot functioning.
• Collaborate with teammates and partner engineering groups, conduct code reviews, and share innovative ideas for building better infrastructure tools.

Perks and benefits: