Fall 2020 AND Spring-Summer 2021 Intern, Machine Learning

ANSYS is the global leader in engineering simulation, helping the world’s most innovative companies deliver radically better products to their customers. By offering the best and broadest portfolio of engineering simulation software, ANSYS helps companies solve the most complex design challenges and engineer products limited only by imagination.

SUMMARY
ANSYS empowers the world’s most innovative companies to design and deliver transformational products by offering the best and broadest engineering simulation software to solve the most complex design challenges and engineer products limited only by imagination. Thus, through our enriching co-op and intern program, we help develop the next-generation of engineers and technologists. You will develop our industry-leading simulation software while gaining real experience in your field of study. You will support one of our business units, including but not limited to the following:
– Design Business Unit
– Platform Development Unit
– Licensing & Install Unit
– Mechanical Business Unit
– Release Management Unit

This Internship is a 40-hour per week paid position starting May 2020 and concluding August 2020.

RESPONSIBILITIES

– Design and develop machine learning algorithms for training using our ANSYS solvers as surrogates for CAE applications

– Create datasets, label data and train machine learning algorithms using deep learning or reinforcement learning techniques.

– Implement solutions in experimental code (Python, TensorFlow, Pytorch) using industry best practices in software development.

– Test the algorithms developed and share results and training curves.

– Design and develop code with Unit Testing and TDD (test driven design) based on specific list of engineering scenarios.

MINIMUM QUALIFICATIONS

– Enrolled in a BS/MS or PhD program pursuing degree in engineering, mathematics or computer science.

– Experience with machine learning using scripting languages such as Python/R and GPU programming.

– Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods.

PREFERRED QUALIFICATIONS

– Preferred experience using machine learning frameworks such as TensorFlow or Pytorch

– Preferred experience in machine learning using 3D and geometry

– Preferred experience using 3d software for datasets creation

– Preferred experience Object-oriented languages such as C++ and/or C#

– Preferred experience with source control such as GIT, SVN