R&D Engineer – Mechatronic Systems, Simulation & AI

Engineering Design & System Development

• Design portions of engineering solutions for mechatronic systems, mechanical and thermal hardware, electronics enclosures, and production tooling, in accordance with established engineering principles and development guidelines.

• Support system‑level and control‑related design considerations, including servomotion, actuation, power, and integrated mechanical behaviours.

• Conduct feasibility studies, design margin assessments, and analytical evaluations on new and modified designs.

• Perform root cause analysis of design or system issues and propose, evaluate, and implement corrective solutions.

Simulation, Analysis & AI‑Enabled Engineering

• Develop and apply simulation models, including Finite Element Analysis (FEA) for structural, thermal, vibration, and durability assessments.

• Support design decision‑making through simulation‑driven insights and correlation with empirical data.

• Explore and apply AI‑driven techniques to accelerate simulation workflows, improve prediction accuracy, and enable design optimization (e.g., predictive modelling, automated meshing, generative approaches).

Cross‑Functional Collaboration & Execution

• Work in a collaborative R&D environment to design, analyze, simulate, and refine components, devices, structures, and assemblies.

• Participate as a member of cross‑functional project teams, including internal engineers and outsourced development partners, to deliver reliable, cost‑effective, and high‑quality solutions for low to moderately complex products.

• Build and manage relationships with suppliers and outsourced partners, setting expectations for deliverables, quality, schedules, and cost.

Engineering Change & Value Engineering

• Manage engineering change processes, including design change notifications, engineering change approvals, and associated schedules.

• Drive value engineering initiatives, including proposal development, technical evaluation, and communication.

Education:

• Bachelor’s or Graduate Degree in Mechanical Engineering, Mechatronics, or a related discipline (or equivalent practical experience and demonstrated competence).

Preferred Skills & Competencies:

• Familiarity with 3D CAD tools, such as Creo Parametric / ProEngineer.

• Experience or understanding of FEA tools (e.g., Altair HyperWorks, ANSYS) is highly preferred.

• Understanding of Computational Fluid Dynamics (CFD).

• Strong fundamentals in mechanics of materials, kinematics, and materials engineering.

• Practical knowledge of material testing methods, such as fatigue and creep testing.

• Interest or exposure to AI / ML concepts and their application in engineering (e.g., predictive modelling, optimization).

• Strong analytical and problem‑solving skills, with understanding of mechanical and thermal material properties.

• Hands‑on engineering capability and willingness to engage directly with hardware, prototypes, testing and failure investigation.

Bonus / Differentiators:

• Programming skills in Python, C++ or MATLAB for simulation automation and data analysis.

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