CAE Vehicle Optimization and Machine Learning Engineer
General Motors
- United States
- United States
Über
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
GM's
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, multi-physics 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
cross-domain performance issues
, and
scale optimization/physics-based AI capabilities across GM
. You will be a key technical leader in turning cutting-edge 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 You'll Do
Lead the development of
advanced optimization methods and workflows
using both commercial CAE/optimization software and internally developed tools, leveraging state-of-the-art multi-disciplinary, stochastic/robust, and ML-enabled technologies.
Apply optimization and ML to rapidly root cause and resolve
cross-domain 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
physics-based 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 high-value 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 GM's 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
physics-based AI
and practical experience evaluating and integrating both commercial platforms and custom-built solutions into CAE and optimization workflows.
High level of interpersonal skills to work collaboratively and effectively with others.
High ability to multi-task 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.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
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, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (https://search-careers.gm.com/en/working-at-gm/total-rewards) .
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 (https://search-careers.gm.com/en/how-we-hire) .
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
Our Company (https://search-careers.gm.com/en/working-at-gm/)
Our Culture
How we hire??????? (https://search-careers.gm.com/en/how-we-hire/)
Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations (https://search-careers.gm.com/en/locations/)
We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (https://flows.beamery.com/generalmotors/talcom) . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Sprachkenntnisse
- English
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