- Salary
- $230k – $242k
- Location
- PERM - N/A · Remote (US-XX-REMOTE)
- Workplace
- Remote
- Department
- IT
- Seniority
- Manager
Description
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
You will:
- Ensure that Waymo technology programs satisfy the business needs of internal and external users. Duties include:
- Develop simulator multi-platform strategy in partnership with engineering and product leads, contributing to simulator's long-term vision by defining OKRs, KPIs, roadmap, and success criteria;
- Execute the foundational world model roadmap to ensure synthetic test suites are reliable, realistic, and representative of real-world performance in support of U.S. and international commercial expansion;
- Create ML model development plans to improve simulator realism across 3D graphics, physics-based animation, sensor simulation, intelligent agent behavior, reactivity, and data augmentation;
- Integrate the release process of the core simulator and intelligent simulation realism features with the onboard software release cadence to enhance transparency, compatibility, and system trust;
- Develop scalable methodology, process, and tool for simulator realism evaluation, including the rollout of AI-assisted agentic workflows to enhance triage efficiency;
- Lead simulator architecture transformation into a scalable product, driving initiatives to reduce configuration complexity, enhance self-serve tools, improve documentation, streamline onboarding, and reduce operational overhead to boost scenario creation throughput;
- Built an adaptable program planning framework for a simulator platform, supporting feature intake, bug reporting, prioritization, execution tracking, and retrospectives to meet evolving requirements for a credible and scalable simulation system;
- Drive alignments across key stakeholders with system engineering, simulation, evaluation, and onboard software teams to ensure globally optimized decisions that reflect top company priorities rather than isolated team-level objectives;
- Represent the team’s scope and dependencies in cross-functional programs, aligning simulator milestones with company-wide goals to optimize resourcing between long-term foundational world model release and near-term program delivery; and
- Establish a program communication structure that connects sprint-level work with executive reviews, enabling clear updates on execution status, risks, and priorities. Fully remote, telecommuting position.
You have:
- Master’s degree in Mechanical Engineering, Software Engineering, or related field and two years of experience in the job offered or a Technical Program Management related occupation.
- Position requires two years of experience in the following:
- Large scale project management experience (multiple projects, multiple stakeholders, large teams, complex team setup), including experience with various project management methodologies such as Agile, SAfe, Waterfall, Lean, and DAD;
- Machine learning;
- Software simulation tools;
- End-to-end autonomous driving algorithm development;
- System engineering, and test methodologies technical management for autonomous driving applications;
- Sensor system development technical management for autonomous driving applications; and
- Vehicle control system development technical management for autonomous driving applications.
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.