Siemens Intern - AI-based Testing in Princeton, New Jersey

Intern - AI-based Testing

Locations:Princeton, New Jersey

Job Family: Internal Services


English (US)

Job Description

Division: Corporate Technology

Business Unit: Corporate Technology

Requisition Number: 223344

Primary Location: United States-New Jersey-Princeton

Assignment Category: Full-time temporary

Experience Level: Entry level

Education Required Level: High School Diploma / (GED)

Travel Required: No

Division Description:

For nearly 170 years, pioneering technologies and the business models developed from them have been the foundation of Siemens‘ success. Our central research and development unit, Corporate Technology (CT) plays an important role in this. Together with our global network of experts, we are a strategic partner to Siemens’ operative units and provide important services along the entire value chain – from research and development to production and quality assurance, as well as optimized business processes. Our support provided to the businesses in their research and development activities is ideally balanced with our own future-oriented research.

We at Corporate Technology are more than employees: We are actively helping to make people’s lives a little better every day. Would you like to be a part of that? Then join us. We offer you a high level of practical relevance as well as an opportunity to individually contribute your knowledge and your visions around the world. Whether you’re helping to develop products for the operating units or working in interdisciplinary projects for the business areas: At Corporate Technology you’ll be working in the heart of Siemens’ technological research together with the best.a

Job Description:

We are looking for an intern to support our research activities and AI-based testing.

What are my responsibilities?

  • Use deep neural networks to test complex software

  • Extract relevant data from software runs (log files, etc.) and extract features for testing

  • Design and implementation of test automation

  • Run tests and improve test setup based on results

  • Design, develop and train machine learning models (in particular deep neural networks)

  • Assess models accuracy and the impact of data quality on the precision of the predictions

What skills are needed to qualify for this internship?

  • MS or PhD students in Software Engineering or related fields e.g. Computer Science, Electrical and Computer Engineering

  • Proficient in software development (C++, Java, Python)

  • Proficient in machine learning and deep learning (Tensorflow, Mxnet, Keras, etc.)

  • Good understanding of deep neural networks and hyperparameter tuning

  • Experience training and evaluating a deep neural network (with own datasets)

  • Passionate about software quality

  • Pays attention to detail and an ability to work independently and on a team

Successful candidate must be able to work with controlled technology in accordance with US Export Control Law. US Export Control laws and applicable regulations govern the distribution of strategically important technology, services and information to foreign nationals and foreign countries. Siemens may require candidates under consideration for employment opportunities to submit information regarding citizenship status to allow the organization to comply with specific US Export Control laws and regulations. Additional information on the US Export Control laws & regulations can be found on

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected under Federal law from discrimination. To learn more, Click here at .

Pay Transparency Non-Discrimination Provision

Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here at .