Simulation Engineer
Emerson
Job Level
Mid-LevelSenior
Tech Stack
JavaPythonVBA
About the role
- Translate complex product requirements into tangible, functional hardware components from concept through production.
- Design, develop, and rigorously test hardware solutions to meet quality, performance, and safety standards.
- Operate and leverage 3D CAD software (CATIA, Teamcenter, Teamcenter Visualization) to develop and refine CAD concepts and design alternatives.
- Identify and apply automation tools and scripting techniques to enhance design efficiency.
- Collaborate with internal manufacturing teams, tool shops, and external suppliers to resolve feasibility, appearance, and attribute concerns.
- Create, manage, and maintain engineering documentation including assemblies, technical drawings, and motion files.
- Develop and manage complex vehicle environments focusing on system integration and interface management.
- Participate in development of test steps and validation plans; apply root cause analysis and failure mode analysis to resolve technical issues.
- Engage in continuous learning and professional development, embracing new technologies and methodologies in hardware engineering.
Requirements
- Bachelor's degree (BS) in an engineering discipline such as Electronics Engineering, Mechanical Engineering, Mechatronics Engineering, or a closely related field.
- Excellent written and verbal communication skills in English.
- Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
- Demonstrated knowledge of 3D CAD software tools and principles (e.g., CATIA, Teamcenter, Teamcenter Visualization).
- Foundational understanding of vehicle functions and interactions between automotive systems.
- Knowledge of materials properties and their application in engineering design.
- Familiarity with production and manufacturing processes relevant to hardware components.
- Understanding of Geometric Dimensioning and Tolerancing (GD&T) principles.
- Working knowledge of failure mode analysis (FMA) and root cause analysis (RCA) methodologies.
- Preferred: Master's degree (MS) in Engineering (electrical, mechanical, or related).
- Preferred: Familiarity with Computer-Aided Engineering (CAE) methods, including FEA or CFD.
- Preferred: Coursework or project experience related to sound/mechanical vibration, thermodynamics, or heat transfer.
- Preferred: Basic knowledge of statistical analysis principles.
- Preferred: Familiarity with programming languages such as Python, Java, VBA, or MATLAB for data analysis, automation, or simulation.
- Preferred: Experience or familiarity with quality methodologies such as Six Sigma (DMAIC/DFSS) or other robustness tools.
