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LinkedinPosted Yesterday : 2026-06-14
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Robotics & Factory Automation (AI Enabled) Expert

Siemens

GurugramFull time5-10 yearsNot Disclosed

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Job Description

Position Summary:

Siemens Energy Gas Services (GS) is seeking a Robotics & Factory Automation Expert to accelerate AI-enabled automation initiatives across manufacturing environments.

The role focuses on designing, deploying, and scaling practical robotics and automation solutions that improve safety, quality, and productivity, while building a foundation for future physical AI capabilities.

The position requires hands-on delivery of industrial automation solutions using robots, cobots, and vision systems, combined with selective application of AI where it delivers measurable value.

How You’ll Make an Impact (key responsibilities of role)

  • Design and implement robotics and factory automation solutions that address real, near‑term manufacturing and operational challenges.
  • Lead automation use cases involving industrial robots, cobots, vision‑based inspection, and semi‑autonomous systems.
  • Integrate automation solutions with manufacturing systems (MES, IIoT, sensors, PLCs) to enable scalable and maintainable deployments.
  • Apply AI selectively and pragmatically (e.g. vision, decision logic, adaptive control) where it clearly improves automation outcomes.
  • Improve safety, quality, consistency, and productivity by reducing manual and repetitive tasks.
  • Standardize automation approaches and reusable building blocks across factories and sites.
  • Collaborate across R&D, engineering, and operations to ensure effective solution deployment and lifecycle support.

What You Bring (required Qualification And Skill Sets)

  • Bachelor’s or Master’s degree in Robotics, Mechanical Engineering, Computer Science, AI, or related field.
  • 5–8 years of experience in robotics, factory automation, or AI-enabled physical systems.
  • Hands-on experience with industrial robots, cobots, automation cells, and safety-critical systems.
  • Experience integrating AI with automation (e.g., computer vision, edge AI, data-driven control).
  • Strong understanding of manufacturing processes and operational constraints.
  • Proficiency in Python and/or C++ for robotics or simulation development.
  • Knowledge of digital twin concepts for simulating robots and environments.
  • Experience delivering end-to-end solutions from engineering to deployment and feedback integration.
  • Strong problem-solving skills with the ability to work independently.
  • Excellent communication skills with the ability to explain technical concepts to diverse stakeholders.
  • Collaborative mindset with experience working in cross-functional and agile teams.
  • Growth mindset with curiosity for next-generation automation and physical AI technologies.
  • Ability to balance immediate operational impact with long-term innovation.
  • Working knowledge of gas turbine manufacturing processes (preferred).

About The Company

Siemens

Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to cleaner and more comfortable transportation as well as advanced healthcare, the company creates technology with purpose adding real value for customers. By combining the real and the digital worlds, Siemens empowers its customers to transform their industries and markets, helping them to transform the everyday for billions of people. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a globally leading medical technology provider shaping the future of healthcare. In fiscal 2023, which ended on September 30, 2023, the Siemens Group generated revenue of €77.8 billion and net income of €8.5 billion. As of September 30, 2023, the company employed around 320,000 people worldwide.

Company Size10000+
Founded1847
HeadquartersMunich
IndustryAutomation Machinery Manufacturing
TypePublic Company
SpecialitiesElectrification, Automation, Digitalization, Innovation, Technology, Engineering, Manufacturing, Artificial Intelligence, Internet of Things, Cybersecurity, Infrastructure, Sustainability, Digital Twin, Metaverse, Transport, and Smart Buildings

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