Digital Twin Solutions Engineer Job Vacancy Advanced Manufacturing

Position:

Digital Twin Solutions Engineer

Company:

Siemens South Africa

Location:

Bloemfontein, South Africa

Experience:

5+ years in digital twin development, simulation, or related fields

Education:

Bachelor's degree in Mechanical Engineering, Computer Science, or related discipline

Employment Type:

Full-time

Industry:Advanced Manufacturing

Department:

Engineering

Salary:

SSP 600, per annum

Vacancies:1

Siemens South Africa is a leading global technology powerhouse, delivering innovative solutions across energy, automation, and digital industries. With a strong presence in South Africa for over a century, Siemens combines cutting-edge research with local expertise to drive the nation’s industrial transformation. The company’s commitment to sustainability, smart manufacturing, and Industry 4.0 positions it as a preferred employer for professionals seeking to shape the future of production.

As part of Siemens’ worldwide network, the Bloemfontein office collaborates closely with research centres, universities, and partner firms to develop next-generation digital solutions that enhance efficiency, reduce waste, and improve product quality.

Employees at Siemens enjoy a collaborative culture that encourages continuous learning, cross-functional teamwork, and a focus on delivering measurable impact for customers. The organisation's values of responsibility, excellence, and innovation are reflected in every project, making it an ideal environment for engineers who thrive on solving complex challenges. Siemens South Africa is also recognised for its robust corporate social responsibility programmes, supporting STEM education and community development across the country.

The Digital Twin Solutions Engineer will lead the design, implementation, and optimisation of digital twin models for manufacturing assets and processes. Working within the Advanced Manufacturing division, you will translate physical system data into high-fidelity virtual replicas that enable predictive maintenance, performance optimisation, and rapid prototyping. This role requires close collaboration with product designers, data scientists, and operations teams to ensure that digital twins deliver actionable insights and tangible business value.

As part of your responsibilities, you will engage with customers to understand their operational challenges, propose tailored digital twin strategies, and oversee the end-to-end deployment of solutions on Siemens' industrial IoT platform. You will also contribute to the continuous improvement of Siemens' digital twin framework, incorporating emerging technologies such as AI-driven analytics, edge computing, and augmented reality visualisations.

• Develop and validate high-accuracy digital twin models for manufacturing equipment, production lines, and plant facilities.
• Integrate sensor data, PLC signals, and ERP information into real-time simulation environments.
• Collaborate with cross-functional teams to define use cases, performance metrics, and success criteria for digital twin deployments.
• Design and implement predictive algorithms that leverage digital twin data for maintenance scheduling and process optimisation.
• Provide technical guidance and training to client engineering teams on digital twin best practices.
• Document solution architecture, configuration settings, and validation results for internal knowledge bases.
• Stay abreast of industry trends, emerging standards, and new Siemens tools to continuously enhance solution offerings.

• Proficiency in 3D modelling and simulation tools such as Siemens NX, Simcenter, or ANSYS.
• Strong programming skills in Python, C++, or MATLAB for data processing and algorithm development.
• Experience with industrial IoT platforms, OPC-UA, MQTT, and cloud services (Azure, AWS).
• Solid understanding of manufacturing processes, control systems, and equipment lifecycle management.
• Excellent problem-solving abilities and the capacity to translate complex technical concepts into clear business outcomes.
• Effective communication and stakeholder management skills.

A Bachelor's degree in Mechanical Engineering, Electrical…