IIoT & Instrumentation Engineer for Digital Twin (f/m/div.)

Ludwigsburg, Germany

Bosch Group

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Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Welcome to Bosch. 

The grow platform GmbH is looking forward to your application! 

Job Description

We make machines speak! Find out how by becoming one of our team members in Bosch’s Home of Intrapreneurs. “Bosch Digital Twin Industries” (BDTI) is a corporate start-up that is going global and faces huge business potential which now needs to be realized. Therefore, we need you as contributors, shapers & fellow team members in a multi-cultural, innovative and ambitious environment. Together we will take human and machine intelligence to a next level of human-machine collaboration based on learning algorithms & real-world challenges with large industrial machinery. 

As an IoT & Instrumentation Engineer for BDTI, you will be responsible for designing and implementing the connect layer and remote edge management components of digital twin solutions. Your role involves expertise in instrumentation, sensor technology, communication protocols, and signal processing to ensure seamless connectivity and remote management of assets in digital twin environments. 

  • IIoT Solution Design: Design and implement the ideal industrial IoT solution for Digital Twin applications, including developing seamless data flow between local machine data and the cloud environment. Exposure to industrial DataOps and IIoT platforms is desirable. 
  • Sensor Integration: Develop standards alongside the measurement and controls team to integrate machine measurement readings from various sensors and PLC systems into the Digital Twin cloud environment. 
  • Remote Edge Management: Develop remote edge management solutions to enable efficient monitoring and management of assets deployed in remote locations (e.g. OTA updates). 
  • Communication Protocols: Implement communication protocols such as OPC-UA or Modbus to ensure interoperability and compatibility of DT-IAPM solutions with existing systems. 
  • Signal Processing: Apply signal processing techniques to analyze and interpret sensor data for actionable insights and decision-making. 
  • Lab Extension: Extend Ludwigsburg Lab into an experience center to showcase innovative digital twin technologies and solutions. 

Qualifications

  • Education: Bachelor's or Master's degree in electrical engineering, computer science, computer engineering or a related field. 
  • Technical Proficiency: Proficiency in tools and technologies related to the connect layer of digital twin software, including Python, C++, IoT protocols, industrial protocols, Machine learning, Linux and PLC systems. 
  • Certifications: Relevant certifications in sensor technology, communication protocols, cloud technology, or digital twin technologies are advantageous. 
  • Communication: Excellent communication and collaboration skills, with an ability to work effectively in cross-functional teams. 
  • Problem-solving: Strong analytical skills with a focus on identifying and resolving complex technical challenges. 
  • Languages: You are business fluent in English, other languages are welcome.

Additional Information

The contractual work location is Ludwigsburg.  

You want to work remotely or part-time - we offer great opportunities for mobile working as well as different part-time models. Feel free to contact us. 

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. 

Here you get more information about Digital Twin: Digital Twin | Bosch Global Software Technologies PVT LTD (bosch-softwaretechnologies.com) 

Digital Twin is a trend-setting business model innovation financed by the grow platform GmbH, the Bosch incubator platform. Get more information here: What's in it for you? | grow platform 

Need further information about the job?
Prahallad C R (Functional Department)
+49 711 811 12926

Patrick Schlachter (Functional Department)
+49 15255472610

Need support during your application? 
Nelly Ehrmann (Human Resources) 

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Category: Engineering Jobs

Tags: Computer Science DataOps Engineering Industrial Linux Machine intelligence Machine Learning Python R Spark

Perks/benefits: Startup environment

Region: Europe
Country: Germany

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