Simulation Engineer with Artificial Intelligence, Engineering Center, Cluj
Job Description
Our domain focuses on development of electronics in the mobility area. We aim to move the mechanical architectures to the future with the power of data science. Let’s work on this together.
In your role you will:
- 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.
Qualifications
- You have an interest in automotive electronics including data science methods for mechanical engineering;
- You have expert
- 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
- 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.
Nice to have:
- Experience with simulation related tasks or projects;
- German – it is not mandatory, but it is an advantage.
Hybrid working is the new way of working! We offer super nice and cozy office spaces, however you can also work from home if you feel like it (70% remote work);
Our #Like
ABosch Benefits:
- 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
- being initiatives - Technical and soft skills trainings
- Access to
- learning platforms - Local and Global career development programs
- Bookster subscription.
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