MEMS Designer Accelerometers
Pubblicato il 20-10-2026 - Bosch Group in Trieste
Bosch Sensortecis the technology leader in sensing solutions based on microelectromechanical systems (MEMS) and dedicated to the consumer electronics world. Our success in MEMS sensors and solutions is built on a remarkable team driven by passion, innovation and flexibility. There is more than one good reason to join#BoschSensortec. We not only have cutting-edge product technology and an employee-oriented corporate culture, we also offer you attractive working conditions and first-class career opportunities. We offer you many different working fields and career paths — and we provide individual possibilities to enable you to turn your passion into real innovations. What will you take care of? You will be working in the Milan Design Center of the Bosch Sensortec Division, where you will have the chance to: * Take responsibility:Based on specific customer requirements you are designing the MEMS structures with respect to its mechanical and electrical behavior. * Model based design:
You are carrying out dedicated simulations to optimize the designed MEMS structures with focus on accelerometers. * Drive the future:You are developing new algorithms for design optimization and improve simulation methods. In addition, the analysis of cause chain reactions is required. * Be part of the team: You are part of a cross functional engineering team and take responsibility for internal activities or work packages in design projects. * Networking: Beside the coordination of all design and simulation tasks the close cooperation with project management and technology development is a crucial key-factor for success. What distinguishes you? * Education: Master of Science or PhD in Mechanical Engineering, Mathematics, Physics or equivalent * Languages: Fluent English (B2 as minimum level), German as a plus. * Software Skills:Proficient coder. Experience with MATLAB/Python and Finite Element Simulation tools required. Additional Simulink skills and experience with AI methods is preferred