Senior Engineer, Occupant Safety CAE at Stable Auto

Troy, Michigan, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AutomotiveIndustries

Requirements

Bachelor's degree in Mechanical Engineering, Electrical Engineering, Automotive Engineering, or a related field (Master's degree preferred)
8+ years of experience and proficiency in CAE modeling for automotive safety engineering
Proficiency with LS-Dyna modeling, including all common pre/post-processing tools (Primer, Ansa/Meta, Hyperworks, LS-PrePost, etc.)
Proficiency with the Humanetics CAE dummy model pre/post-processing
Excellent understanding of the automotive safety protocol landscape for North America (FMVSS-208/214, US-NCAP, IIHS, etc.)
Excellent understanding of the functionalities, tuning, and CAE modeling approaches for components like: airbags for frontal and side impact protection, seat belts, seats for first and second seat row (including pelvis-thorax airbag integration), steering columns, instrument panels (including knee bolsters and passenger airbag integration), interior trim (including carpet, pillar trim, headliner, and sun visors)
Excellent understanding of tuning knobs and parameters that affect the occupant response required to meet regulatory and consumer information test requirements with top performance (≥20% margin for regulatory requirements, GOOD for IIHS and 5-Star for US-NCAP)
Ability to lead teams and meetings through technical tradeoffs and optimized solutions

Responsibilities

Develop CAE occupant models in LS-Dyna for frontal and side impact
Collaborate with responsible DREs and associated component suppliers to ensure component CAE models are properly correlated and/or reasonable initial assumptions are being made
Collaborate with responsible DREs and associated component suppliers to ensure the proper integration of restraints and interior component CAE models into the systems model
Assess the system level occupant performance for all relevant impact configurations
Optimize the performance of the relevant components needed to meet occupant performance targets (airbags, seat belts, steering column, seats, instrument panel, interior trim, etc.)
Collaborate with the safety structures team in case the structural performance of the BIW does not allow meeting occupant performance targets
Collaborate with relevant cross-functional teams in case the performance of specific components prohibits meeting the occupant performance targets (e.g., Interior, Chassis, etc.)
Collaborate with Testing to ensure that the execution of physical tests is aligned with CAE component and system level assumptions/needs
Support the delivery of the occupant safety attribute with high quality CAE models during all program phases all the way through Start-Of-Production
Develop CAE models for occupant protection virtual analysis, including tuning airbags, seat belts, and all relevant interior components regarding their energy absorption capabilities
Keep the occupant protection CAE model at the highest quality level with regards to latest CAD data and correct assumptions for component CAE model correlation
Occasionally attend test labs to ensure alignment between physical testing and CAE modeling assumptions

Skills

CAE

LS-Dyna

Occupant Safety

Frontal Impact

Side Impact

Airbags

Seat Belts

Energy Absorption

CAD

Virtual Analysis

Restraints

Physical Testing

Stable Auto

Optimizes charging infrastructure for electric vehicle fleets

About Stable Auto

Stable Auto optimizes the charging infrastructure for electric vehicle (EV) fleets, catering to logistics companies, public transportation agencies, and corporate fleets transitioning to electric vehicles. The company provides advanced software and consulting services that utilize machine learning and operations research to help clients identify the best locations for charging stations, determine optimal charging times, and minimize both capital and operational expenditures. By simulating real-world fleet behaviors, Stable Auto delivers actionable insights that enhance performance and reduce costs. Their revenue model includes subscription fees for their software platform and consulting fees for tailored advisory services. The team consists of experts in machine learning, operations, and energy, enabling them to offer practical solutions that improve fleet management.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$18.4MTotal Funding

SERIES_ACompany Stage

Automotive & Transportation, Consulting, AI & Machine LearningIndustries

11-50Employees

Benefits

Flexible Work Hours

Remote Work Options

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Parental Leave

Risks

Increased competition from established players like Shell may limit market share.

Low utilization rates of EV chargers threaten the profitability of infrastructure investments.

Rapid growth in public fast charging sites may reduce demand for consulting services.

Differentiation

Stable Auto uses machine learning to optimize EV fleet charging infrastructure.

The company offers customized solutions tailored to each client's specific needs.

Stable Auto's team includes experts from top companies and academic institutions.

Upsides

Partnerships with companies like Blink Charging enhance Stable Auto's market presence.

The rise of vehicle-to-grid technology offers new revenue streams for fleet operators.

AI-driven predictive maintenance reduces downtime and maintenance costs for charging stations.

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