Loading...
 
Share this Job

Summer 2022 Intern - CTO

Apply now »

Date: Jan 1, 2022

Location: CA Home City, CA, US, 94203

Company: Ansys

Ansys is the global leader in engineering simulation. We empower the world’s most innovative companies to deliver transformational products to their customers. By offering the best and broadest portfolio of engineering simulation software solutions, we help our customers solve the most complex design challenges and engineer products limited only by imagination. Whether you are a software developer, product engineer, sales team member, or part of our corporate team, at Ansys we know that by embracing what makes us each unique, we become collectively better.

 

 

 

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 Office of CTO for contributing to researching and implementing new algorithms for machine learning models in context of numerical methods, simulations and 3D understanding using deep learning and other related fields.

This Internship is a 40-hour per week paid position starting May 2022 to August 2022. 

 

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 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

 

 

 

Due to the federally mandated COVID-19 vaccination requirement impacting federal contractors like Ansys, this position requires you to be fully vaccinated for COVID-19 prior to your start date.  If you are unable to be vaccinated due to medical or religious reasons, we offer accommodations in accordance with applicable federal, state and local laws including state and local mandatory vaccination orders.

 

ALIGNING YOUR VALUES TO OUR SOLUTIONS
At Ansys, our diverse, collaborative teams give us the strength and insight to solve the world’s most challenging engineering problems. Our ONE Ansys culture has at its core:

  • Customer Focus
  • Results and Accountability
  • Innovation
  • Transparency and Integrity
  • Mastery
  • Inclusiveness
  • Sense of Urgency
  • Collaboration and Teamwork

 
ENGINEERING YOUR CAREER AT ANSYS
At Ansys, you will find yourself among the sharpest minds and most visionary leaders across the globe. Collectively we strive to change the world with innovative technology and transformational solutions. With a prestigious reputation in servicing well-known, world-class companies, standards at Ansys are high – met by those willing to rise to the occasion and meet those challenges head-on. At Ansys, it’s about the learning, the discovery and the collaboration. It’s about the “what’s next” as much as the “mission accomplished.” And it’s about the melding of disciplined intellect with strategic direction and results that have, can and do impact real people in real ways. All this is forged within a working environment built on respect, autonomy and ethics.
 
At Ansys, you will find yourself among those eager to drive the world towards the next best thing with hands planted firmly on the wheel. Our team is passionate about pushing the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at lower cost.  As a measure of our success in attaining these goals, Ansys has been recognized as one of the world's most innovative companies by prestigious publications such as Bloomberg Businessweek and FORTUNE magazines.
 
Ansys is an S&P 500 company and a member of the NASDAQ-100. We are proud to have been recognized for the following awards: Bay Area Best Places to Work, a Pillar World Awards Gold Winner, Fast Company Best Places to Work for Innovators, a Gold Stevie Award for Great Employers, the FORTUNE Future 50, a DCA Silver Winner, an R&D100 Finalist, a 20% by 2020 Women on Boards winner, a 2020 Pittsburgh Tech 50 – finalist, and America’s Most Responsible Companies.
 
For more information, please visit us at www.ansys.com

 

We are committed to creating a culture of inclusion and belonging where everyone thrives as ONE Ansys team.
 

Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics.
 
Ansys does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of Ansys. Upon hire, no fee will be owed to the agency, person, or entity.

 


Nearest Major Market: Sacramento