Siemens Careers

Data Analysis and Simulation Professional (Artificial Intelligence & Autonomous Systems)

Princeton, New Jersey
Research & Development

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English (US)

Job Description

Division: Digital Factory
Business Unit: Digital Factory (DF)
Requisition Number: 229961
Primary Location: United States-New Jersey-Princeton
Assignment Category: Full-time regular
Experience Level: Mid level
Education Required Level: Master's Degree
Travel Required: 10%

Division Description:

Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationality 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, Healthcare and Financial Services.

The Siemens Digital Factory Division offers a comprehensive portfolio of seamlessly integrated hardware, software and technology-based services in order to support manufacturing companies worldwide in enhancing the flexibility and efficiency of their manufacturing processes and reducing the time to market of their products.

For more information, please visit:
http://www.siemens.com/businesses/us/en/digital-factory.htm

 

 



Job Description:

 

DF FA US Data Analysis and Simulation Professional 

(Artificial Intelligence & Autonomous Systems)

 

  

Position Overview  

 

This position performs analysis, development, testing and implementation of new technologies in proof of concepts and collaborates with customers to define specifications. The position creates artificial intelligence and autonomous systems technologies both at the Field/Edge level and in the MindSphere cloud. Moreover, the position contributes to the requirement definition of technologies, product, systems, solutions and services. Algorithms are developed jointly with an AI Expert or implemented from technical papers. Additionally, the position develops hypotheses and analytical models, evaluates alternatives and identifies most promising resolutions. Finally, the position documents and reports results of the evaluated technology. 

 

This is a position within a new agile DF FA US team that reports to a local manager with dotted line to DF FA TIP SAT “System Architecture & Technology”.

 

 

 

 

 

Responsibilities  

 

·        Working with customers to understand algorithm requirements and deliver solutions.

 

 

·        Fast prototyping, feasibility studies, specification and implementation of product components.

 

 

·        Evaluate novel Technologies towards their fit to the future Siemens Factory Automation Portfolio.

 

 

·        Apply our technology to real-world problems in industry. 

 

 

Required Knowledge/Skills, Education, and Experience 

 

·        MSc in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or Physics required.

 

 

·        5+ years of practical background in Artificial Intelligence, Autonomous Systems, Signal Processing, Physics and Optimization required.

 

 

·        Graduate research, fellowship or internship experience in signal processing in acoustics, condition based monitoring or industrial image processing.

 

 

·        Good knowledge of tools and languages typically used to support simulation (incl. C/C++, Matlab, Labview etc.)

 

 

·        Background in machine learning, Tensorflow and Python

 

 

·        Real world problem solving and a hands-on, can-do mentality.

 

 

·        Excellent interpersonal and communication (verbal & written) skills in English a must. 

 

 

Preferred Knowledge/Skills, Education, and Experience

 

 

·        Knowledge of the SIMATIC portfolio, automation programming environment and concepts.

 

 

·        Previous experience in technical role with Knowledge of the Siemens organization.

 

 

·        Development experience on edge devices such as Arduinos is a plus.

 

 

·        Knowledge or previous involvement writing funding proposals for research grants a plus.

 

*LI-CYL

 

 



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