Senior Interdisciplinary Systems Engineer, Amazon Robotics

Senior Interdisciplinary Systems Engineer, Amazon Robotics

Job ID: | Amazon Development Center Germany GmbH

Do you want to have a worldwide impact in Robotics? Amazon Robotics builds high‑performance, real‑time robotic systems that can perceive, learn, and act intelligently alongside humans — at Amazon scale. We invent and scale AI‑driven robotic systems for fulfillment. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real‑world fulfillment centers.

The Amazon Robotics team is seeking a broad, curious Interdisciplinary System Engineer with a strong mechanical hardware background to join our robotic manipulation team. We holistically design, build, and deliver end‑to‑end robotic systems. Our team is responsible for the core infrastructure and tools that serve as the backbone of our robotic products — enabling roboticists, machine learning scientists, software engineers, and hardware engineers to deploy systems from lab to field.

We are seeking a hands‑on Senior Interdisciplinary System Engineer who will define system architectures, drive cross‑functional tradeoffs, and ensure successful integration of complex hardware‑software robotic systems for deployment into the fulfillment network. The ideal candidate combines deep mechanical design expertise with systems thinking — someone who can design mechanical modules, technically challenge design decisions at a component level, and reason across mechanical, electrical, and software boundaries to deliver robust, scalable robotic products.

Key job responsibilities

• Define, expand, and explore the design space for complex, multidisciplinary robotics and automation problems, with emphasis on mechanical architecture and physical system constraints.
• Design and technically review mechanical modules and subsystems; challenge design decisions with rigorous engineering analysis and first‑principles reasoning.
• Identify and analyze cross‑functional tradeoffs between design alternatives, including impact on performance, schedule, cost, risk, manufacturability, and scale.
• Break down and frame problems using concept of operations, use cases, and structural/functional decompositions to clarify needs and align hardware, software, and science teams.
• Drive system‑level requirements definition and flowdown; write requirements, functional specifications, interface control documents, and design verification plans.
• Build quantitative models and analyses (MATLAB, Python, Excel) to conduct trade studies, refine requirements, and understand key system drivers across integrated mechatronic systems.
• Develop system integration and evaluation strategies; drive execution of system test campaigns spanning lab and field environments, including test readiness reviews, post‑test analysis, and reporting.
• Work with Operations, Manufacturing, Supply Chain, and Quality organizations as well as vendors to ensure smooth production transitions and identify design choices that enable deployment at Amazon scale.
• Mentor colleagues across disciplines and exhibit role model behaviors of thorough engineering analysis and cradle‑to‑grave ownership.

Basic Qualifications

• Bachelor's degree or above in Mechanical Engineering
• Experience analyzing dependencies, tradeoffs, and sensitivities across multi‑disciplinary systems
• Knowledge of SolidWorks or similar CAD experience and understanding of best practices for part design, and advanced assemblies
• Experience in integrated system design with a strong mechanical hardware focus.
• Demonstrated ability to design mechanical modules and critically challenge mechanical design decisions at a technical level.
• Experience leading technical collaborations and creating alignment across diverse groups (hardware, software, controls, program management).

Preferred Qualifications

• Experience in integrated system design of industrial robotic or automated systems.
• Experience with the full hardware product development lifecycle — from concept through manufacturing transition and field deployment.
• Experience with actuator/sensor evaluation, selection, and integration into robotic platforms.
• Knowledge of manufacturing methods and rapid prototyping techniques (CNC, 3D printing, waterjet, laser cutting).
• Proficiency with PLM software and Engineering Change Order (ECO) processes.
• Demonstrated team leadership skills and experience with 1 or more relevant domains: Industrial Automation, Robotic Manipulation, Workcell Automation, Conveyance Systems.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.