Job Description
Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
Hardware Engineering is a diverse, 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.
In this hybrid role, you will report to a CAE Lead. This role is expected to be office-based in Bangalore. While we work to set up our office, individuals will initially work remotely from home. You Will - Interact with Waymo internal design teams and OEM partners to perform subsystem and full vehicle level crashworthiness and pedestrian protection evaluations using explicit Finite Element Analysis (FEA) solvers like LS-Dyna
- Develop detailed crashworthiness models, explore options to optimize those models to reduce runtime, incorporate state-of-the-art impactor and dummy models available in the industry for pedestrian protection applications, and guide other members of the team to run crashworthiness models
- Working knowledge of implicit solvers like Abaqus/Optistruct/Nastran to run both linear and nonlinear analyses on complex sensor and vehicle assemblies
- Explore and develop new CAE modeling techniques and processes and collaborate with other team members to expand the simulation capabilities
- Perform structural design optimizations for crashworthiness and durability
You Have - Master's Degree in Mechanical Engineering with 12 years of hands on practical experience in FEA or Bachelor's Degree with a minimum of 15 years of experience
- Expertise in performing nonlinear analysis including crashworthiness and pedestrian protection evaluations and experience with shock, impact and large deformation analyses using LS-Dyna
- Experience with linear dynamics, implicit quasi-static and dynamic procedures including contact modeling using solvers like Abaqus, Optistruct, and Nastran
- Working knowledge of all the Safety standards (FMVSS, Euro NCAP etc.) associated with evaluation of crashworthiness and pedestrian protection
- Expertise in model building with tools like Hypermesh, Simlab and LS-PrePost
- Expertise in modeling of commonly used materials in high tech and automotive industry, fasteners and structural adhesives
We Prefer - Strong knowledge of fundamental concepts of continuum mechanics and FEA
- Familiarity with elastic-plastic material modeling, damage and failure modeling and analysis, interpretation, and correlation with FEA models
- Working knowledge of material fatigue assessment
- Knowledge of structural optimization tools
- Knowledge of scripting and other FEA automation tools
- Ability to work within Linux server based computational environment
The expected base salary range for this full-time position 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. 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.
Salary Range
₹5,200,000—₹6,300,000 INR
Job Tags
Full time, Remote job, Work from home,