Expert in Measurement and Electrical Engineering in Research and Development (m/f/d)

Tesla stands for the acceleration of the transition to sustainable energy. Revolutionary strategies and products have been developed and successfully launched within a few years. This is only possible through extraordinary enthusiasm and identification of employees, speed in the implementation of processes and projects, as well as above-average innovative strength and efficiency. We, Tesla Automation, support Tesla's incredible success story through highly automated cutting-edge technology that raises the company's global production capacity to the next level. Our passion, motivation and readiness for complex special machine construction enables Tesla to achieve its ambitious goals.

Now we are looking for you to continue and further develop this success story together.

You develop complex measuring and testing systems - from conception to prototypes to integration into our special machines. You optimise analog and digital hardware, sensor interfaces and embedded electronics including simulation, design, test and calibration. You will ensure precise, reproducible measurement values taking into account mechanical, thermal and dynamic boundary conditions. You integrate measurement technology in machines and systems, including the programming of measurement systems and data acquisition systems in conjunction with SPS/PLC and automation technology. You measure voltages up to 1000V (DC and AC) and currents from few Pikoampere up to 1000A (DC and AC). You use source measurement units (SMU), e.g. Keithly and measurement systems with up to 8,000 measurement channels.

Completion of engineering studies in the fields of electronics, mechatronics, measurement and control technology or a comparable qualification At least 3 years of relevant professional experience in hardware development for measurement technology and sensor systems Experience in EMC-compliant development of measurement and test system analysis Good knowledge of the application of statistical methods Know-how in the programming of measurement and data acquisition systems (e.g. Python, MATLAB) Team player with very good communication skills High motivation and flexibility combined with great self-responsibility Ability to structure problem analysis and solution finding Very good knowledge of German and English in word and writing

Employer's contribution to benefits Welcome package shares Corporate Benefits Canteen Free drinks (coffee, water etc.) Free charging of electric vehicles Variable remuneration Remuneration 30 days off Further training e.g. .