Technical Program Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Ensure that Waymo technology initiatives fulfill the requirements of both internal and external users.

• Collaborate with engineering and product leads to formulate a multi-platform strategy for simulators, including defining OKRs, KPIs, roadmaps, and success criteria.

• Implement the foundational world model roadmap to ensure the creation of reliable, realistic, and representative synthetic test suites.

• Develop plans for ML model advancement aimed at enhancing simulator realism across various aspects such as 3D graphics, physics-based animation, sensor simulation, intelligent agent behavior, reactivity, and data augmentation.

• Coordinate the integration of core simulator releases and intelligent simulation realism features with the onboarding software release schedule.

• Establish scalable methodologies, processes, and tools for evaluating simulator realism, which includes AI-driven agentic workflows.

• Spearhead the transformation of simulator architecture into a scalable product while enhancing self-service tools, documentation, onboarding, and scenario creation efficiency.

• Create a flexible program planning framework for managing feature intake, bug reporting, prioritization, execution tracking, and retrospectives.

• Foster alignment among stakeholders across system engineering, simulation, evaluation, and onboard software teams.

• Represent the team's scope and interdependencies in cross-functional initiatives and ensure simulator milestones are aligned with broader company objectives.

• Facilitate program communication that links sprint-level activities with executive evaluations, including updates on execution status, risks, and priorities.

⛳️ Requirements

• A Master's degree in Mechanical Engineering, Software Engineering, or a related discipline.

• A minimum of two years of experience in the offered role or in a Technical Program Management-related field.

• At least two years of experience in managing large-scale projects involving multiple projects, stakeholders, extensive teams, and complex team structures.

• Familiarity with project management methodologies such as Agile, SAFe, Waterfall, Lean, and DAD.

• Experience in machine learning applications.

• Proficiency with software simulation tools.

• Background in end-to-end development of autonomous driving algorithms.

• Expertise in system engineering and testing methodologies related to autonomous driving applications.

• Experience in technical management of sensor system development tailored for autonomous driving applications.

• Knowledge in technical management of vehicle control system development for autonomous driving applications.

🏝️ Benefits

• Participation in a discretionary annual bonus program.

• Equity incentive plan.

• Comprehensive company benefits program.