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Software Engineer – Process Modelling
At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the needs of patients, our people, and the planet.
Bangalore, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.
At Takeda’s ICC we Unite in Diversity
Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators’ journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.
As a Software Engineer – Process Modelling, you will design and deliver solutions that enable real-time modelling and optimization of complex processes, leveraging advanced engineering platforms. You will actively contribute to an agile team, participating in technical discussions and ceremonies to shape clear, implementable user stories. In this role, you will help build and evolve a cutting-edge digital capability that strengthens Takeda’s ability to simulate, analyze, and enhance critical processes, ultimately supporting better outcomes for patients and healthcare professionals.
Design, develop, and maintain software solutions supporting real-time process modelling and simulation, leveraging engineering platforms such as Emerson Real-Time Scheduling and primarily using C/C++, SQL and related technologies.
Build and evolve systems of medium-to-high complexity with a high level of autonomy, ensuring performance, reliability, and scalability.
Ensure high performance of modelling and simulation workloads, including profiling, optimization, and tuning.
