R&D Principal Engineer

2 weeks ago

Bengaluru, Karnataka, India ABB Full time ₹ 20,00,000 - ₹ 25,00,000 per year

This Position reports to: Global Product & Technology Manager

Your role and responsibilities :

In this role, you will have the opportunity to initiate and drive technology, software, product, and/or solution development using in-depth technical expertise in a specific area. Each day, you will act as the first point of contact in Research and Development (R&D) for in-depth product or technology-related issues. You will also showcase your expertise by supporting strategic corporate technology management and future product/software/solution architecture.

This role is contributing to the Process Automation Business in Process Industry Division in Bangalore .

You will be mainly accountable for:

  • Lead R&D initiatives to develop advanced control algorithms including Model Predictive Control (MPC), state estimation, soft sensors, and real-time optimization.
  • Design and implement end-to-end APC solutions for continuous and batch processes, particularly in cement, pulp & paper, mining, and other industrial verticals.
  • Develop robust process models (first principles and hybrid) for control and optimization purposes.
  • Work closely with portfolio managers, system architects, and customers to define technical requirements, scope, and feasibility for new products and features.
  • Support the deployment and piloting of APC solutions at customer sites or remotely.
  • Continuously evaluate emerging technologies and methods in control theory, machine learning, and process analytics to improve existing solutions.

Qualifications for the role :

  • Ph.D. or Masters Degree in Chemical Engineering, Electrical/Electronics, or Computer Science with focus on Process Control, Systems & Control, or a related field.
  • Minimum 10+ years of industrial experience in design, development, and implementation of APC solutions.
  • Deep expertise in Control Theory, Model Predictive Control, System Identification, and Optimization Algorithms (Linear and Nonlinear).
  • Proficiency in Python, MATLAB, Simulink, or R for modeling and control development; familiarity with OPC, DCS/PLC integration, and cloud-based deployment is a plus.
  • Application domain knowledge in process industries such as mining, cement, pulp & paper and other continuous and or batch process.
  • Excellent Communication skills and ability to influence both internally and externally.

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