Senior Engineer / Lead Engineer – Virtual Engineering- AI CAE at General Motors

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

NoVisa

Automotive, ManufacturingIndustries

Requirements

Bachelor’s or Master’s Degree in Mechanical/Automobile/Production/Mechatronics Engineering discipline or similar
5+ years experience in CAE at Automotive Product Development / Manufacturing Engineering
3+ years' experience in implementing AI solutions in CAE
Should have executed at least 5+ years of Core CAE domain (from problem definition to deployment) experience
Strong programming skills in Python, MATLAB, CAE tool-specific APIs (Altair suite, NASTRAN, ANSYS APDL, Abaqus etc.), workflow automation
Experience with ML frameworks like Pytorch, TensorFlow
Understanding of data annotation tools and MLOps workflows
Experience in data handling and feature engineering
Strong problem-solving and analytical mindset
Experience in domain-specific AI use cases (manufacturing, automotive, etc.)

Responsibilities

Drive AI innovation in CAE analysis
Execute end-to-end projects from idea to deployment, applying Reduced order modelling (ROM), Simulation data driven ML, DoE techniques to solve Manufacturing problems while ensuring data security and delivering measurable impact
Define and deploy process and methods for AI in CAE
Collaborate with stakeholders to understand business problems in the CAE domain and translate them into AI solutions
Design, develop, and fine-tune AI/ML models for: Simulation result prediction and design optimization; Automating repetitive CAE tasks (meshing, boundary conditions, post-processing)
Evaluate, validate, and benchmark model performance using appropriate metrics
Deploy AI models into production environments in collaboration with IT/AI teams
Establish monitoring and maintenance processes to ensure model accuracy over time
Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements
Document workflows, results, and lessons learned for organisational knowledge sharing
Stay updated on advancements in neural networks, multi-physics simulations, surrogate modelling and physics-informed learning techniques

Skills

CAE

ROM

DoE

Meshing

Neural Networks

Multi-Physics Simulations

Surrogate Modelling

Physics-Informed Learning

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees