Waymo is looking to solve the business and technical problem of improving the efficiency and effectiveness of their autonomous driving system's response to in-field issues, ensuring safety and reliability.
Requirements
- Experience with C++ and/or Python
- Experience building and leading SRE or operations-focused engineering teams.
- Experience with large-scale data processing, robotics, or safety-critical systems.
Responsibilities
- Own and execute the technical strategy for the entire Field Response flywheel, which includes Instance Discovery, Intervention, Aggregation, Mitigation, Robust Fixes, and Regression Prevention.
- Drive initiatives to improve automated issue discovery by deploying more signals to Signal Server and reducing the latency from event occurrence to a triaged bug.
- Enhance our mitigation effectiveness by championing the creation of new Spotfix types and increasing the ratio of targeted Spotfix/KMD mitigations over broader DZ mitigations.
- Partner with the Mitigation Ops (MitOps) team to improve their efficiency, reducing the turnaround time for applying mitigations to discovered issues.
- Mature the mitigation lifecycle by improving processes for tracking, evaluating, and ablating temporary fixes, ensuring every mitigation has a clear path to removal.
- Serve as the key technical partner for teams like ROPP, Remote Assistance (RA), SRE, and various Onboard teams to ensure a seamless flow of information and action.
Other
- Hire, mentor, and lead a new team of 4+ solid software engineers (initially), fostering a culture of ownership and rapid execution.
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
- 10 years of experience in software engineering.
- 3+ years of experience in a technical leadership and/or people management role.
- Proven track record of leading complex, cross-functional projects with multiple stakeholders.
- Demonstrated ability to thrive in ambiguity and deliver solutions to open-ended problems, as is common when responding to novel in-field issues.
