Senior Test Engineer, Amazon Robotics

Amazon Robotics is seeking a motivated Test Engineer. You will plan design execute and 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 and 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 and systems engineers within the Actuation Group. The ideal candidate brings hands-on test bench experience for drive systems strong measurement and data-processing fundamentals and 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.

- Bachelors degree in mechanical engineering electrical engineering or 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 and calibration requirements
- Proficiency in MATLAB for measurement data processing applying the fundamental mathematics of signal processing and statistics

- Masters degree in Electrical Engineering Mechatronics or 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 or aerospace test environments

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