Siemens Careers

Research Engineer Machine Learning

Princeton, New Jersey
Research & Development

English (US)

Job Description

Division: Corporate Technology
Business Unit: Corporate Technology
Requisition Number: 222532
Primary Location: United States-New Jersey-Princeton
Assignment Category: Full-time regular
Experience Level: Entry level
Education Required Level: Doctorate Degree
Travel Required: 20%

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.

Job Description:

 The Research in Digitalization and Automation (RDA) department, as part of Siemens Corporate Technology (CT), is at the heart of Siemens R&D. Our deep competence and expertise make us the preferred partner for innovation. We develop technologies with wide applicability so that Siemens may successfully bring innovations to market. Our scientists located around the world help create and retain a technological edge for Siemens in the focus area of automation, electrification and industrial digitization.

Siemens’ central research and development arm sees itself as a strategic partner to the company’s businesses. It plays a key role in achieving and maintaining leading competitive positions in the fields of electrification and automation while at the same time helping Siemens fully tap into the growth field of digitalization.
We are currently seeking a Research Engineer Machine Learning for our Princeton, NJ location. Applicants for this position should have interests and background in software engineering and in machine learning.
Complex software-intensive systems are at the core of Siemens’ business. Siemens power plants, factory automation, building automation, power grid control, and others depend on the correct operation of software. Therefore, reliable software is essential for the success of our businesses. The Research Engineer helps Siemens business units world-wide to translate new business ideas into software solutions and successful products. We place a lot of emphasize on software that is reliable, performant, scalable and maintainable. Our research results influence Siemens products and are reflected in patents and publications in journals and conferences. The Research Engineer will help Siemens development teams to integrate machine learning into a systematic software engineering process to create new products or enhance existing products.

What are my responsibilities?
• Be able to evaluate solution alternatives that involve different machine learning architectures.
• You will get to design and implement machine learning solutions for Siemens business units.
• You will get to participate in software architecture reviews and work with business units to improve their software architecture.
• You will be aware of state-of-the-art machine learning technologies and software engineering methods, tools and trends.
•You will get to participate to identify high-impact research topics in intelligent systems.
• You will perform research, development and consulting projects collaborating with colleagues, customers and universities.
• You will get to write papers for presentation in journals and conferences.

What skills are needed to qualify for this position?
• Ph.D. in Computer Science or equivalent degree is required.
• Minimum of two years of experience in software engineering is required. Will consider recent PhD graduates with appropriate graduate research/internship experience.
• Strong theoretic and practical experience in systematic software engineering.
• Strong experience in using and deploying machine learning.
• Experience in evaluating and improving the performance and scalability of intelligent systems.
• Publication record in peer-reviewed journals and conferences.

• Desire to never stop learning and improving.
• 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


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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.

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