Mechanical Engineer

We are seeking a Mechanical Engineer to support advanced simulation, modeling, and design optimization for semiconductor equipment and mechanical systems. This role focuses on applying computational engineering, machine learning, and digital-twin approaches to accelerate design validation and development.

Job Description:

Support thermal, flow, and structural simulations for design validation and optimization of semiconductor equipment, subsystems, and components. Conduct detailed CFD/FEA analyses including heat transfer, fluid and gas flow dynamics, stress, structural response, vibration, and manufacturability assessments. Develop surrogate models, reduced-order models, and machine learning-based prediction tools to accelerate simulation turnaround and design iteration.

Build digital-twin frameworks by integrating physics-based simulation models with test, operational, and sensor data where available. Create automated workflows for design of experiments, high-fidelity simulation data generation, model training, and simulation-driven optimization. Perform uncertainty quantification, sensitivity analysis, parameter calibration, and model validation against detailed simulation or experimental data. Prepare technical reports and presentations communicating simulation assumptions, model accuracy, validation results, and design recommendations. Collaborate with internal design, process, software, controls, data science, and manufacturing teams to develop scalable simulation solutions.

Required:

• Highly proficient in CFD and FEA simulation tools such as ANSYS Fluent, ANSYS Mechanical, STAR-CCM+, Simcenter 3D, or equivalent tools.
• Strong background in fluid mechanics, heat transfer, solid mechanics, numerical methods, and engineering model validation.
• Experience developing surrogate models, reduced-order models, response surface models, or other simulation acceleration approaches.
• Strong programming skills in Python, MATLAB, or similar scientific computing environments.
• Experience with 3D design tools such as Siemens NX, ProE/Creo, SolidWorks, or equivalent CAD platforms.
• Excellent written and verbal communication skills, including technical presentation capability.
• M.S. or Ph.D. in Mechanical Engineering, Aerospace Engineering, Computational Engineering, Applied Mathematics, Data Science, or a related field.

Preferred Qualifications:

• Experience developing digital twins for engineering systems, semiconductor equipment, or manufacturing environments.
• Experience with physics-informed machine learning, Gaussian process regression, neural networks, optimization algorithms, or design-space exploration methods.
• Familiarity with cloud computing, HPC execution, simulation workflow automation, custom scripting, and data pipeline development.
• Experience with simulation optimization, UDF packages, and automated parametric simulation workflows.
• Semiconductor industry experience is a plus.