Automation Systems Design and Modelling Engineer
Skills
About This Role
SAVOYE Middle East
designs and integrates supply chain solutions.
We provide innovative solutions to some of the most perplexing logistics processes through a full range of Advanced Software Solutions and Advanced Technologies systems.
As a leading logistics service provider, we are excited for our growth and commitment to customizing global logistics solutions.
We are searching for an
Intra-Logistics Design and Modelling Engineer
to join our team of innovative and passionate individuals who are powered by their passion for service delivery.
Build your career in an innovative, growing company by developing a working knowledge of SAVOYE systems and supporting our clients.
Job Summary
A successful
Automation Systems Modelling Engineer
will strive for excellence in client satisfaction and enjoy troubleshooting.
This role
will support our clients across the business.
This role is an integral part of our client-focused business model as clients are the foundation of our business.
Qualification, Education, And Experience Requirements
- Bachelor’s degree in mechanical engineering, mechatronics engineering, or software engineering from an accredited university, or equivalent experience. A master’s degree will also be considered.
- 10 Years of Experience preferably in the Material Handling Industry, with a focus on conveyance, sortation, automated storage and retrieval, and fixed and mobile robotics applications
- Proficiency with CAD software applications such as AutoCAD, Navisworks, and SolidWorks
- Proficiency with Digital Twin software platforms, including Emulate3D or Process Simulate
- Familiarity with R, Python, and Excel for data analysis and reporting, along with SQL-based RDBMS systems
- Ability to travel up to 25% to support sales, project design and engineering efforts.
Preferred Qualifications
- Comfortability working in a team environment
- Experienced and proactive problem solver
- Capable of clearly communicating and presenting to both internal and external stakeholders
- Drive to build out digital twin platforms for both intralogistics systems validation as well as integrated testing efforts
Essential Job Functions
- Travel to SAVOYE Middle East offices and customers’ locations to support sales and engineering teams
- Evaluation and transformation of automated intralogistics systems layouts into physics-based 3D models (CAD to Model).
- Configuration and development of intralogistics models to accurately reflect the operation of the equipment within the model (shuttles, cranes, conveyors, sortation, robotics, AMRs, etc.).
- Produce required documentation and reporting for simulations, including system performance analysis, equipment performance, reliability, availability, and systems utilization.
- Working closely with our sales and engineering teams to support modifications to systems based on results of simulation analysis.
- Working closely with the software engineering team to build interfaces to SAVOYE Middle East’s Advanced Software platform allowing accurate models to be executed.
- Support controls engineering and software engineering teams with emulation modeling and testing to perform full system integration testing before field deployment.
- Process ownership for design development as well as version control of design models, including all components
- Support the Advanced Technologies group in building models for SAVOYE Middle East’s product lines.
Working Conditions
- This position may require occasional travel across the Middle East.
- Although this is a full-time, Exempt position (40 hours per week), extended hours and evenings may be required based on client needs.
- Applicants must be legally authorized to work in both the United Arab Emirates and the Kingdom of Saudi Arabia.
Benefits
This is a full time, salaried, exempt position.
The position offers a comprehensive benefits package
***Equal Employment Opportunity Acknowledgement***
SAVOYE Middle East is an equal opportunity employer.
All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
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