Senior Test Engineer, Amazon Robotics
Amazon Deutschland Services GmbH•4h ago
DE, MunichOnsiteFull-timeSenior Level5+ yrs exp
Top focus
Qa EngineerRobotics EngineerAutomation Test EngineerPerformance Test Engineer
- Amazon Robotics is seeking a motivated Test Engineer. You will plan, design, execute
- document testing of electrical-drive systems and their components — from individual actuator characterization through system-level validation. This includes the design and operation of test benches, instrumentation selection, data processing
- reporting. You will be accountable for turning raw measurement data into clear engineering insights that drive design decisions for our actuation hardware. You will work with mechanical, electrical, firmware
- systems engineers within the Actuation Group. The ideal candidate brings hands-on test bench experience for drive systems, strong measurement and data-processing fundamentals
- a passion for translating test results into actionable design guidance. Key job responsibilities
- Design, commission, and operate test benches for electrical-drive systems (motors, inverters, gear units), including fixture design, instrumentation layout, and safety concepts.
- Select, integrate, and calibrate torque cells and encoders (incremental and absolute), with a thorough understanding of their working principles and error influences (e.g., cross-talk, temperature drift, mounting misalignment, interpolation error).
- Process and analyze test data using MATLAB, applying the underlying mathematical fundamentals (filtering, FFT, statistics, uncertainty propagation) to extract meaningful performance metrics from raw sensor signals.
- Compile clear, structured test reports that compare results against specifications, highlight anomalies, and derive actionable engineering learnings to feed back into the design cycle.
- Collaborate with the Actuation Group to align test strategies with product requirements and development milestones.
- Bachelor's degree in mechanical engineering, electrical engineering
- an equivalent engineering science - Experience with test plan development, building the necessary test bench infrastructure, developing tests and verifying the design - Experience identifying and reviewing test plans, test cases and testing results with a strong QA background - Practical knowledge of torque cells and rotary encoders — including their working principles, error influences
- calibration requirements - Proficiency in MATLAB for measurement data processing, applying the fundamental mathematics of signal processing and statistics
- Master's degree in Electrical Engineering, Mechatronics
- Measurement & Sensor Technology - Experience with motor characterization (efficiency mapping, cogging-torque analysis, thermal correlation) - Familiarity with test automation frameworks (LabVIEW, Python) or hardware-in-the-loop setups - Understanding of measurement uncertainty analysis (GUM) and calibration procedures - Experience working in robotics, automotive
- aerospace test environments Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Required skills
MATLABLabVIEWPythontest plan developmenttest bench infrastructuremotor characterizationmeasurement uncertainty analysis