Waymo is looking to improve its autonomous driving technology by leading technical projects across the Simulator to enhance automated issue detection and prevention of future regressions.
Requirements
Expertise with C++ and/or Python.
Demonstrated knowledge of the Simulator and SimEval ecosystem.
Experience building or significantly contributing to SRE or operations-focused engineering systems.
Proven track record of successfully leading complex, cross-functional projects with multiple stakeholders to completion, particularly within a robotics or autonomous systems domain.
Experience with large-scale data processing, robotics, or safety-critical systems.
Responsibilities
Define and drive the technical strategy for the full lifecycle of issue response within the Simulator, from automated detection and root cause analysis to the deployment of both temporary mitigations and permanent software fixes, as well as preventing future regressions.
Lead complex, cross-functional technical initiatives to enhance automated issue detection by integrating new data sources and signals, and by minimizing the time from an in-field event to mitigation deployment.
Collaborate closely with Data Science, Systems Engineering and operations teams to streamline technical processes and tools, accelerating the deployment and validation of solutions and mitigations for issues identified in theDrive
Drive technical alignment and consensus across multiple engineering stakeholders regarding Simulator strategy, system architecture, and project execution.
Mentor mid-level and junior engineers on complex technical problems, best practices in system architecture, and high-quality software development, acting as a technical force multiplier.
Other
Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
10+ years of experience in software engineering.
Significant experience (3+ years) acting as a technical lead, owning the end-to-end architecture and delivery of large-scale software projects.
Master's degree or PhD in Computer Science or a related field.
