Simulation Engineer with Artificial Intelligence, Engineering Center, Cluj
Bosch
- Cluj-Napoca, Cluj
- Permanent
- Full-time
- You have an interest in automotive electronics including data science methods for mechanical engineering;
- You have expert know-how from the following fields: Data preprocessing, Data Visualization, Statistical Analysis, Numerical methods, Mechanical engineering, Electronics, Machine Learning, Artificial Intelligence;
- You are familiar with Python programming;
- You have insight into numerical methods for solving equations: FEM, CFD; knowledge of Ansys suite software is an advantage;
- You had contact with version source control (e.g. Git, Bitbucket);
- You have a university degree in Mechanical engineering, Physics or a similar field of study;
- You are flexibility and teachability in interpersonal work relationships;
- You are eager to work with the newest automotive technologies, understand complex systems and shape the behavior of the future cars;
- You are proactive and you adapt easily to new development environment, but don't worry, we will be there every step of the way, supporting each other;
- You are self-motivated and take ownership of your tasks and projects;
- You are a team player and offering and receiving feedback comes naturally;
- You are not afraid to think outside the box and try to find creative approaches to your challenges;
- You have a good English level.
- Experience with simulation related tasks or projects;
- German - it is not mandatory, but it is an advantage.
- 25 days of annual leave
- Medical subscription
- Accident insurance
- A monthly budget which can be used for several different services on an online benefit platform
- Annual bonus
- Relocation bonus
- Lunch discounts
- Sport activities and well-being initiatives
- Technical and soft skills trainings
- Access to e-learning platforms
- Local and Global career development programs
- Bookster subscription.
- Identify opportunities and define workflows for optimization of mechanical development processes based on data science methods;
- Develop and apply statistical, machine learning and AI algorithms. Evaluate prediction models quality and define performance criteria;
- Apply numerical methods and perform simulations on electronics in commercial software. Actively consult with the team to understand the mechanical working principles of systems;
- Prepare datasets from various sources and in different formats. Create data visualizations and analytics of results;
- Contribute with constructive solutions based on given requirements;
- Perform simulations for products, systems within specified models, perform, adapt simulation models and develop if necessary;
- Determine the input parameters required by structural specifications, organize and quantify data, calculate and compile;
- Have the chance to know the influence of critical simulation boundary conditions, consider and determine, in consultation with the department / customer;
- Be in charge for evaluating results of the simulation;
- Analyze, present and justify calculation results;
- Have the chance to contribute with constructive solutions and attempts to stimulate and to assist in the design of test facilities;
- Be in charge of demonstrating technical and economic optimum based on the specifications and regulatory requirements (e.g strength, manufacturability or cost);
- Compare simulation results with the measurement results and, if necessary, adjust the simulation model.
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