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Описание вакансии
Текст:
TL;DR
Site Reliability Engineer, Lead (C++/SRE): Leading reliability engineering for planet-scale software release pipelines supporting autonomous vehicles, with an accent on observability, incident management, capacity planning, and production operations. Focus on investigating novel failures, improving distributed-system robustness, and designing automation and architecture for reliable software delivery.
Location: Mountain View, California, United States; hybrid work schedule
Salary: $298,000–$368,000 USD per year, plus eligibility for an annual bonus, equity incentive plan, and company benefits.
Company
Waymo develops autonomous driving technology and operates fully autonomous ride-hail services powered by the Waymo Driver.
What you will do
- Lead the reliability strategy and execution for critical software release pipelines.
- Drive incident response, retrospectives, on-call rotations, disaster recovery, and business continuity planning.
- Harden production software, develop operational playbooks, and improve on-call metrics and post-mitigation workstreams.
- Lead engineering analysis and response to novel, rare, or unexpected events during the development and release cycle.
- Promote reliability engineering practices across the Onboard, Eval, and Simulator organizations.
- Contribute to system software architecture focused on robustness and debuggability.
Requirements
- Master’s degree or PhD in Computer Science, Engineering, or a related technical field.
- 10+ years of experience with large-scale production software systems, especially machine-learned systems.
- 10+ years of hands-on coding experience with C++.
- Deep expertise in large-scale distributed systems, observability, monitoring, and incident management.
- Strong background in cloud infrastructure, production operations, automation, and modern DevOps/SRE tooling.
- Experience organizing on-call rotations, influencing without authority, and improving reliability through data-driven problem-solving.
Nice to have
- Experience leading hybrid hardware/software production systems.
- Experience leading teams working on deep machine learning and large-scale models.
- Experience driving change in engineering organizations of 1,000+ people.
Culture & Benefits
- Work on software delivery systems supporting a growing fleet of autonomous vehicles.
- Collaborate across the Onboard, Eval, and Simulator organizations.
- Eligibility for a discretionary annual bonus program.
- Eligibility for an equity incentive plan and company benefits program.
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