Deep Learning Engineer - Computer Vision

Job Description

Organization: Corporate Technology
Business Unit: Research in Digitalization and Automation
Requisition Number: 238446
Primary Location: United States-New Jersey-Princeton
Assignment Category: Full-time regular
Experience Level: Entry level
Education Required Level: Master's Degree
Travel Required: 10%

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 Vision Technologies and Solutions group within Siemens Corporate Technology has an immediate opening in Princeton, NJ for a Software Engineer with a focus on Deep Learning. This role is an exciting opportunity to join a newly formed team and contribute to its future growth.
 
Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated researchers. You will have the opportunity to test your knowledge in a challenging problem-solving environment. You will be encouraged to think out-of-the-box, innovate and find solutions to real-life problems. Our team has a strong publication record in leading journals and conferences such as CVPR, ECCV, ICCV, ETC.
 
What are my responsibilities?
 
  • Design and implement deep learning algorithms for computer vision applications (e.g. images and texts).
  • Apply state of the art software engineering principles to develop software applications that demonstrate advanced research results.
  • Contribute to research projects that develop a variety of algorithms and systems in machine learning, multimedia analysis, and natural language processing. 
  • Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.
  • Apply image and video analysis techniques such as deep learning to large-scale, real-world problems.
  • Fast prototyping, feasibility studies, specification and implementation of multimedia analysis product components.
  • Working with customers to understand algorithm requirements and deliver high-quality solutions.
 
 What do I need to qualify for this job?
 
  • Masters Degree in Computer Science, Mechanical Engineering or related discipline. 
  • 2+ years of experience in Software engineering with ability to develop and demonstrate Tools, Prototypes, Applications/services and libraries in computer vision domain.
  • Good understanding of data structure and algorithms, design and architecture patters.
  • Proficient with C++, Python,  Java scripting, .net(optional)
  • Basic understanding of image processing and computer vision algorithms.
  • Hands one experience with toolkits like OpenCV, VTK, boost, Qt,  Docker, Angular, UML.
  • Familiarity using deep learning tools like Caffee, PyTorch, Tensorflow etc. (working knowledge of deep learning networks and architecture is necessary)
  • Experience working with Windows and Linux environments.
  • 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 http://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs?view=category&id=33#
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