Role Description You will: - Implement and scale Waymo's core dynamic pricing engine to drive revenue and business strategy across all operating markets. - Develop and deploy sophisticated ML models and optimization algorithms to set real-time pricing that balances supply, demand, and user price sensitivity. - Build and maintain infrastructure for pricing experimentation, monitoring, and analysis to ensure service competitiveness and fleet profitability. - Partner with product data scientists to productionize innovative pricing models, such as route-specific and session-based pricing solutions. Qualifications - BS degree in Computer Science or equivalent practical experience. - 4+ years of experience programming in backend coding languages. - Experience in building backend distributed systems. Requirements - Experience in C++. - MS in Computer Science, or equivalent practical experience. - Experience in developing low latency, large-scale, user-facing distributed systems. - Experience in developing machine learning/optimization infrastructure and pipelines. - Prior experience building and deploying ML/Optimization models into production environments. - Experience at another ride-hailing or marketplace company. Benefits - Waymo employees are eligible to participate in Waymo’s discretionary annual bonus program. - Equity incentive plan. - Generous Company benefits program, subject to eligibility requirements. Salary Range The expected base salary range for this full-time position across US locations is: $175,000 — $215,000 USD

• Oversee the planning, coordination, and delivery of embedded truck software and cloud application releases across the department • Work cross-functionally with development, testing, DevOps, and product teams to ensure releases are delivered on schedule, meet quality and compliance standards, and align with departmental objectives and business priorities • Manage release timelines, deployment readiness, risk mitigation, change control, and cross-stakeholder communication to support reliable and scalable software delivery • Coordinate release planning and execution activities across Engineering, QA, DevOps, Product, Cybersecurity, and Operations teams to ensure the successful delivery of embedded truck software and cloud applications • Ensure release readiness through validation of testing results, compliance checks, documentation reviews, and stakeholder approvals • Lead go/no-go decision meetings, release status reviews, and post-release retrospectives to drive accountability and continuous improvement • Oversee production deployments, rollback strategies, and contingency planning to minimize operational risk and service disruption • Identify, track, and mitigate release risks, cross-team dependencies, and change management impacts throughout the software delivery lifecycle • Partner with DevOps and infrastructure teams to enhance CI/CD pipelines, deployment automation, monitoring, and release reliability • Support process improvement initiatives focused on release governance, standardization, tooling optimization, and operational efficiency • Manage multiple concurrent releases across development, testing, staging, and production environments while maintaining delivery quality and schedule alignment • Monitor post-release performance, defects, and incidents, and coordinate resolution efforts to ensure system stability and customer satisfaction • Maintain clear communication with stakeholders by providing release status updates, deployment metrics, risk assessments, and escalation management • Contribute to the development and enforcement of release management best practices, policies, and operational procedures

• Providing technical leadership across teams and platforms • Driving architectural strategy, engineering excellence, and scalable system design for cloud-based applications • Leading high-impact technical initiatives • Influencing long-term engineering direction • Collaborating closely with Engineering Managers, Product, Release Management, DevOps, and cross-functional stakeholders to deliver reliable, secure, and scalable solutions • Defining and maintaining the architectural vision across teams, platforms, and services • Driving architectural consistency across APIs, data models, infrastructure, system integrations, and software design patterns • Leading major technical initiatives such as platform modernization, observability enhancements, performance optimization, scalability improvements, and reliability engineering efforts • Coordinating cross-team technical projects • Supporting Engineering Managers and Senior ICs in resolving complex technical design, architecture, and implementation challenges • Establishing and promoting engineering best practices for code quality, automated testing, performance optimization, monitoring, security, and operational excellence • Mentoring and coaching senior and mid-level engineers

• Complete on-orbit geometric calibration of new FireSat satellites during the commissioning phase. • Design and implement geometric calibration of multispectral infrared imagery from Muon's infrared missions, including camera geometry modeling and geolocation calibration. • Develop and implement geolocation calibration algorithms to validate and correct on-orbit pointing knowledge. • Continuously improve geospatial processing algorithms including bundle adjustment, orthorectification, and atmospheric corrections. • Research and develop metrics for and improvements to geometric accuracy, image registration, and spatial data quality. • Implement and operate production pipelines for geometric calibration and geospatial data processing. • Write production-ready code. • Work cross-functionally within the team and across Muon to design, build, and maintain operational services from Muon's core remote sensing missions. • Learn new topics as needed (measurement techniques, geospatial data engineering, software engineering, customer domain-specific implications).