Smart Manufacturing Systems Engineer Job Vacancy in Nanyuki, Kenya – Advanced Manufacturing and Industrial Automation

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Job Description

Position: Smart Manufacturing Systems Engineer

Company: Siemens Industry Software Ltd.

Location: Nanyuki, Kenya

Experience: 3-5 years

Education: Bachelor’s Degree in Mechanical or Electrical Engineering

Employment Type: Full-time

Industry: Advanced Manufacturing and Industrial Automation

Department: Engineering and Technology

Salary: 120,000 – 180,000 SSP

Vacancies:1

Company Overview

Siemens Industry Software Ltd., a global leader in industrial automation and digital manufacturing solutions, is expanding its operations in Kenya. With a commitment to innovation and sustainable manufacturing practices, Siemens empowers industries to adopt smart technologies that enhance productivity and reduce environmental impact. The company operates in over 200 countries, delivering cutting-edge solutions for smart factories, energy-efficient systems, and industrial IoT integration.

Job Overview

This role is part of Siemens’ initiative to establish Kenya as a regional hub for advanced manufacturing. The Smart Manufacturing Systems Engineer will design, implement, and optimize automated production systems using Industry 4.0 technologies. The position requires collaboration with cross-functional teams to integrate IoT-enabled machinery, AI-driven analytics, and digital twin technologies across Kenya’s manufacturing sector.

Key Responsibilities

  • Design and implement smart manufacturing systems using Siemens TIA Portal and Teamcenter software
  • Integrate IoT sensors, AI algorithms, and cloud-based analytics into production lines
  • Conduct feasibility studies for automation projects in Kenyan manufacturing facilities
  • Train local engineers on digital manufacturing technologies and predictive maintenance systems
  • Optimize production workflows using digital twin simulations and real-time data analytics

Required Skills

  • Proficiency in industrial automation software (Siemens PLC, SCADA, and MES systems)
  • Knowledge of IoT protocols (OPC UA, MQTT) and AI/ML for predictive maintenance
  • Experience with digital twin development using Siemens Xcelerator platform
  • Strong problem-solving skills for complex manufacturing system troubleshooting
  • Fluency in English and Swahili for cross-departmental communication

Education

Bachelor’s Degree in Mechanical Engineering, Electrical Engineering, or Industrial Automation. Postgraduate qualification in Digital Manufacturing or Industrial AI is an advantage.

Experience

3-5 years in manufacturing automation projects, with demonstrable experience in implementing Industry 4.0 solutions in African industrial environments.

Salary

120,000 – 180,000 SSP per month, commensurate with experience and technical expertise.

Benefits

  • Comprehensive health insurance covering inpatient and outpatient services
  • Annual professional development allowance (KES 150,000)
  • Performance-based bonuses and stock options
  • Relocation assistance for qualified candidates
  • Access to Siemens’ global certification programs in digital manufacturing

Training

  • On-the-job training in Siemens’ Nanyuki Smart Manufacturing Lab
  • Monthly workshops on AI-driven manufacturing analytics
  • Certification courses in Industrial IoT and Digital Twin technologies

Working Environment

The role involves working in both office and factory environments. Candidates must be comfortable with hands-on technical work in manufacturing facilities and collaborative software development in Siemens’ innovation center.

Application Process

Submit your CV and a cover letter detailing your Industry 4.0 project experience to https://kenyajobsearch.com. Shortlisted candidates will be contacted for technical assessments and interviews in Nanyuki.

Equal Opportunity Statement

Siemens Industry Software Ltd. is an equal opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates regardless of gender, ethnicity, or background.