Energy & Fleet Modeling Engineer: Simulation & Optimization

Waymo; California (MO); Hybrid; USD 196,000 - 242,000; Full time

Job summary

Waymo is seeking a seasoned professional in systems modeling and data science to build energy and fleet simulation tools for fleet-level optimization and decision support.

The role requires 5+ years of experience, strong Python/Matlab skills, and a solid engineering background in mechanical, electrical engineering or physics. Hybrid work schedule with collaboration across software, product, data science and operations teams.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Systems modeling

Data science

Python/Matlab

Data analytics

Cross-functional leadership

Communication skills

Education

Mechanical Engineering

Electrical Engineering

Physics

Tools

Python

Matlab

Job description

Waymo is seeking a seasoned professional in systems modeling and data science to build energy and fleet simulation tools for fleet-level optimization and decision support.

The role requires 5+ years of experience, strong Python/Matlab skills, and a solid engineering background in mechanical, electrical engineering or physics. Hybrid work schedule with collaboration across software, product, data science and operations teams.