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.
Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.
This role follows a hybrid work schedule and you will report to a Systems Engineer.
You will:
- Build unified modeling and simulation tools for vehicle energy consumption and fleet-level Total Cost of Ownership (TCO).
- Develop physics-based simulation models of energy consumption across all vehicle operating modes and environmental conditions.
- Develop a city-level fleet simulator to evaluate interactions across operations models, fleet orchestration, vehicle platform architecture and infrastructure.
- Use these simulation tools to inform critical vehicle/system architecture decisions.
- Collaborate with SW, Product, Data Science and Operations teams, using these models to inform production fleet orchestration software and operations/infrastructure roadmaps.
You have:
- 5+ years of work experience in systems modeling and data science.
- Experience using Python/Matlab/similar programming language to build physics-based models and simulations.
- Experience in data analytics and data-based modeling.
- Strong fundamental education/training in Mechanical Engineering, Electrical Engineering, Physics or a related engineering field.
- Experience leading and delivering cross-functional workstreams/projects.
- Experience communicating complex technical analyses effectively.
We prefer:
- Experience with applying machine learning models in real world applications
- Experience using agentic coding tools like Claude Code, Codex, Antigravity etc.
- Experience in physics-based modeling/simulation of electric vehicle powertrains or other electrical + mechanical + thermal domains.
- Experience applying Operations Research or other optimization approaches to real-world problems.
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.
Skills Required
- 5+ years of work experience in systems modeling and data science.
- Experience using Python/Matlab or similar to build physics-based models and simulations.
- Experience in data analytics and data-based modeling.
- Strong fundamental education/training in Mechanical Engineering, Electrical Engineering, Physics or a related engineering field.
- Experience leading and delivering cross-functional workstreams/projects.
- Experience communicating complex technical analyses effectively.
- Experience with applying machine learning models in real world applications.
- Experience using agentic coding tools like Claude Code, Codex, Antigravity.
- Experience in physics-based modeling/simulation of electric vehicle powertrains or electrical + mechanical + thermal domains.
- Experience applying Operations Research or other optimization approaches to real-world problems.
Waymo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Waymo and has not been reviewed or approved by Waymo.
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Fair & Transparent Compensation — Pay is considered strong for full‑time technical roles, aligning with top‑tier AV/Big Tech benchmarks. Employer materials also emphasize competitive pay with eligibility for bonuses and equity as part of total rewards.
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Healthcare Strength — Coverage spans medical, dental, vision, mental‑health resources, onsite wellness centers, and counseling, with specialized programs such as menopause and transgender medical advocacy. Dependents are included, indicating depth across core health needs.
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Parental & Family Support — Offerings include fertility and family‑forming assistance, parental and baby‑bonding leave, caregiver and elder‑care support, and backup childcare. These programs are positioned to support families through multiple life stages.
Waymo Insights
What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
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