CAE Vehicle Optimization and Machine Learning Engineer

Job Description

The Role

GMs Vehicle Optimization and Machine Learning team in the CAE organization delivers innovative solutions to some of the most complex performance challenges in vehicle development. The team sits at the intersection of optimization multiphysics CAE and AI/ML partnering with teams across GM to deliver enhanced vehicle performance while minimizing cost/mass and enabling faster program execution.

As an Optimization & Machine Learning Engineer you will lead the development and deployment of advanced optimization and ML methods rapidly root cause and resolve crossdomain performance issues and scale optimization/physics-based AI capabilities across GM. You will be a key technical leader in turning cuttingedge methods into robust and reusable workflows that engineers can rely on and drive value to GM products that customers love.

Join us if you are passionate about innovation and energized by using advanced methods and solutions to make vehicle development faster smarter and enable better quality vehicles for GM customers!

What Youll Do

• Lead the development of advanced optimization methods and workflows using both commercial CAE/optimization software and internally developed tools leveraging stateoftheart multidisciplinary stochastic/robust and MLenabled technologies.
• Apply optimization and ML to rapidly root cause and resolve crossdomain program performance issues across structure crash NVH aero/thermal and propulsion & energy systems while minimizing mass and cost (e.g. linear/nonlinear topology optimization; shape optimization; weld/adhesive and gauge optimization; lightweight material optimization; MDO; stochastic/robust optimization).
• Develop and scale ML applications for CAE by creating custom tools and workflows and by rigorously evaluating benchmarking and scaling physicsbased AI solutions into CAE workflows with the goal of accelerating convergence to performance targets root cause analysis design-space exploration and multi-attribute tradeoffs.
• Democratize optimization and ML capabilities across CAE teams by identifying highvalue adoption opportunities providing targeted training on tools and methods and coaching teams through real program applications.
• Define maintain and continuously improve standard work for optimization and ML (methods templates example studies training material) ensuring practices are robust reusable and aligned with GM processes and governance.
• Collaborate with data IT and tool ownership teams to ensure optimization and ML workflows are well integrated with GMs CAE data management and compute infrastructure.

Your Skills & Abilities (Required Qualifications):

• B.S. in Mechanical Engineering Aerospace Engineering Civil Engineering Electrical Engineering Physics or a related discipline.
• 5 years experience in CAE toolsets optimization and ML fundamentals which may include both industry and/or advanced research experience.
• Experience in one or more CAE tools such as: HyperMesh OptiStruct Abaqus LS-DYNA Simpack Star-CCM or similar.
• Experience in one or more optimization tools such as: Genesis OptiStruct HEEDS/iSIGHT or similar.
• Experience with process automation and scripting such as Python MATLAB and VBA or similar.
• Knowledge of machine learning methodologies and tools with a focus on physicsbased AI and practical experience evaluating and integrating both commercial platforms and custombuilt solutions into CAE and optimization workflows.
• High level of interpersonal skills to work collaboratively and effectively with others.
• High ability to multitask on different programs and projects.

What Can Give You a Competitive Edge (Preferred Qualifications):

• M.S. in Mechanical Engineering Aerospace Engineering Civil Engineering Electrical Engineering Physics or Data Science (or related discipline).
• Ph.D. in Mechanical Engineering Aerospace Engineering Civil Engineering Electrical Engineering Physics or Data Science (or related discipline).
• Experience in CAE morphing and parametric tools such as: DEP/MeshWorks ANSA and HyperMorph or similar.

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

Accommodations

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