Siemens Intern - AI-based Testing in Princeton, New Jersey
Intern - AI-based Testing
Locations:Princeton, New Jersey
Job Family: Internal Services
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
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
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 https://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs
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 https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm .
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here at https://www.dol.gov/ofccp/pdf/pay-transp_formattedESQA508c.pdf .