Software Engineer II - AI/ML for Crash and Electronics
Core
Designing, training, evaluating, and iterating on deep learning models to develop software tools and algorithms for crashworthiness, safety, human body modeling, and electronic device drop shock testing.
Role type
Machine Learning Engineer (Automotive/Aerospace/Electronics)
Builds
Production-ready model pipelines and simulation tools for crash and electronics analysis
Domain
Automotive, Aerospace, Consumer Electronics, Computational Mechanics
Deliverable
production ML models
Required skills
Deep learning, Graph Neural Networks (GNNs), Python, C/C++, Statics and Dynamics of Structures, Computational Mechanics, Algorithmic problem solving, Data processing
Preferred skills
Finite Element Method (FEM), CAD/CAE software, Numerical Analysis methods
Technologies
Python, C/C++, Linux, Windows, Deep learning frameworks
Responsibilities
Designing and training deep learning models, translating experimental results into robust pipelines, developing software tools and algorithms for crashworthiness and safety, performing model processing and analysis, collaborating with cross-functional and international research teams
Seniority
Mid-level IC
