Siemens Deep Learning Software Engineer in Princeton, New Jersey

Deep Learning Software Engineer

Locations:Princeton, New Jersey

Job Family: Research & Development

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English (US)

Job Description

Division: Corporate Technology

Business Unit: Corporate Technology

Requisition Number: 204807

Primary Location: United States-New Jersey-Princeton

Assignment Category: Full-time regular

Experience Level: Mid level

Education Required Level: Doctorate Degree

Travel Required: 10%

Division Description:

Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationally for more than 165 years. As a global technology company, Siemens is rigorously leveraging the advantages that this setup provides. To tap business opportunities in both new and established markets, the Company is organized in nine Divisions: Power and Gas, Wind Power and Renewables, Energy Management, Building Technologies, Mobility, Digital Factory, Process Industries and Drives, Healthineers and Financial Services. Our support functions are split into two organizations, Corporate Core and Corporate Services. These organizations provide essential services to better enable responsible and profitable growth. For more information, please visit: http://www.siemens.com/businesses/us/en/

Job 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 its global network of experts, CT is a strategic partner to Siemens’ operative units. It provides important services along the entire value chain – from research and development to production and quality assurance, as well as optimized business processes. The support provided to the businesses in their research and development activities is ideally balanced with CT’s own future-oriented research.

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.

The people who work at CT are more than employees. They 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 CT you’ll be working in the heart of Siemens’ technological research.

The CT Automation and Control Technology Field is seeking an experienced and highly motivated Deep Learning Engineer for our Princeton, NJ location. The successful candidate will join our Product Design, Modeling and Simulation Research Group (PSM-US) to create a whole new family of design to manufacturing applications based on advanced machine learning techniques.

Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated professionals. 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.

Responsibilities:

  • Installation, configuration, integration, and management of HPC systems, clusters, operating systems, peripherals, and system interfaces.

  • Actively participate in challenging software and hardware research projects focused at applying combination of Deep Learning, Natural Language Processing and Knowledge Representation pipelines to design, analysis and engineering workflows for real world problems.

  • Research, design, and implement algorithms that power knowledge inference and online recommendations, based on Deep Learning, to consume design and engineering data in real-time.

  • Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.

  • Working with customers to understand algorithm requirements and deliver high-quality solutions. Required Knowledge/Skills, Education, and Experience:

  • PhD degree inComputer Science, Electrical Engineering, Operations Research, Mechanical Engineering, Statistics or Applied Mathematics. PhD in Machine learning is preferred.

  • 7+ plus years of related experience.

  • Applied experience with anyone or more of Natural Language Processing and Deep Learning tools is a must. Skills in optimization, probabilistic reasoning, uncertainty quantification and design analysis are a plus.

  • In depth knowledge of HPC systems/applications and skilled experience in the installation and configuration of operating systems and applications software related to HPC and parallel architectures.

  • Outstanding written and verbal communication skills in English are required in combination with excellent analytical and interpersonal skills and can do attitude.

  • Contribution to research communities and/or efforts, including publishing papers at conferences such at CVPR, ICCV, ACL, EMNLP, TACL, ICML or NIPS, etc.

  • Hands-on coding skills and ability to quickly prototype in C++ is a must. Further experience in one or more of following: R, WEKA, Pandas, Octave, Hadoop, Spark, Scala, Matlab, Python, Java, JavaScript.

  • Outstanding written and interpersonal communication skills in English is required.

  • Show passion for technologies with a can-do attitude.

  • Drive and motivation for career development and open to taking on challenges.

  • Team player who can also be independent, prioritize work and thrives in a fast-paced dynamic environment.

  • 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#subcat34

*LI-JMA

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 .