

A global leader in IT services, infrastructure, and industrial solutions.
Enhance product performance and manufacturability through design optimization, using CAD/CAE tools and algorithms while integrating principles of Design for Manufacturability (DFM), Design for Assembly (DFA), and Design for Excellence (DFX).
Identify inefficiencies and implement improvements in manufacturing and assembly lines through process optimization, supported by data analytics, process modeling, and custom software tools for monitoring and control.
Optimize material usage by evaluating alternative materials through simulation, testing, and cost-benefit analysis, and collaborating with suppliers and design teams to identify lightweight and sustainable options.
Collaborate with materials scientists and chemists to refine chemical compositions for performance, cost-effectiveness, and environmental compliance, validating formulations through simulations and lab testing.
Analyze and streamline product development and manufacturing workflows to achieve lead time reduction, leveraging automation and digital tools to accelerate design iterations and production cycles.
Redesign components and assemblies to minimize weight and labor requirements, introducing ergonomic and automation solutions that improve productivity without compromising structural integrity.
Continuously validate and improve existing algorithms in the Optimization System and streamline these algorithms.
We are seeking an Optimization Engineer with a background in Mechanical/Electrical Engineering and strong analytical and programming skills. The role focuses on improving product and process efficiency through lead time reduction, material and weight optimization, design and process enhancements, labor efficiency, and chemical composition refinement. The ideal candidate will leverage CAD/CAE tools, data analytics, and optimization techniques to drive continuous improvement across engineering and manufacturing workflows
Excellent communication skills
Experience with optimization techniques
Excellent problem-solving skills and attention to detail.
Knowledge of programming languages
Proficiency in CAD/CAE tools (e.g., Creo Parametric, ANSYS, MATLAB)
Ability to work independently and as part of a team in a fast-paced environment.
Familiarity with manufacturing processes and materials science
Bachelor’s degree in mechanical/electrical engineering or a related field, with 3 to 6 years of relevant experience.