Controls Systems Engineer, Innovation and Design Engineering
Do you have an Industrial Automation & Internet of Things (IoT) background? Do you love building new strategic and data-driven businesses? Does collaborating with hardware development engineers to revolutionize logistics automation excite you? The Worldwide Innovation and Design team is seeking a Control Systems Engineer to develop state-of-the-art IoT platform for our Last Mile (AMZL) network technologies. We offer the opportunity to shape the future of automation through digital experimentation while working with world-class engineering teams.
Our team is developing IoT services to enable statistical decision making in the development process. We facilitate the integration of relevant machine-level data into the AWS cloud, providing a secure, reliable, and scalable infrastructure. As a control systems engineer, you will work closely with equipment product owners to understand control designs and build scalable solutions to pipeline, transform, and analyze data using various AWS services.
Come join us as we revolutionize logistics automation around the world!
Key job responsibilities
1. Program PLC logic (Codesys, Allen Bradley, Siemens), HMI, cameras, sensors; understand key field-bus protocols (Profinet, Ethercat, Ethernet/IP).
2. Involvement with PLC (AB or Siemens), control (controller design, network communication, SCADA system), and sensor programming.
3. Experience with field bus networks, multiple network layers, and communication protocols (OPC/UA, MQTT, etc.).
4. Analyze project requirements, build data models, and perform technical calculations supporting design, including electrical requirements, controls safety standards, and motor controls.
5. Develop functions in Jscript/Python for data pipelining & transformation; use Git for data versioning and pipeline deployment; implement Object-Oriented programming concepts for modularity.
6. Lead integration of IoT, including physical and wireless networking (WiFi, Bluetooth, RFID, mesh networks); possess a good understanding of IT connectivity protocols.
Note: Preference for Codesys experience; candidates without it will be considered if they demonstrate relevant understanding.
Approximately 40% travel to our Dortmund site may be required.
A day in the life
As a Controls Engineer, your day begins collaborating with Hardware Development Engineers to understand automation system requirements. You'll evaluate control designs & build control software using tools like Codesys or Python/Jscript. Work with Industrial PCs and develop edge applications to connect to machines, transform data, and transfer to the cloud. Participate in testing, validation, and continuous improvement of our technology. Engage with cross-functional teams and vendors to present findings and optimize systems. Mentor team members on IoT best practices and coordinate complex IoT applications with vendors. Use AWS tools for data post-processing and system optimization, facing new challenges daily in logistics solutions.
About the team
You will join the System Integration & Performance team within Innovation & Design Engineering, working alongside experts in Data Analytics, Physical Validation, and Integration. Together, these pillars support Hardware Developers in making informed design decisions. Our mission is to discover, test, and enhance new mechatronics technologies (Robots, Conveyors, Sorters) transforming Amazon's last mile logistics.
BASIC QUALIFICATIONS
* Bachelor's degree in Engineering (Mechatronics, Automation, Electrical preferred).
* 3+ years of Automation Systems or Industry 4.0 experience in real-world environments.
* Proficiency in Python and Codesys (Structured Text).
* Experience with Open-Source Software (Node-red), Linux, Containerization (Docker, Kubernetes).
* Strong understanding of industrial processes and automation systems.
PREFERRED QUALIFICATIONS
* Experience in Python, Jscript, or C programming.
* Familiarity with control software like RSLogix5000 studio, Tia Portal, or similar.
* Experience developing large-scale industrial automation systems.
* Knowledge of enterprise services and software development tools and methodologies.
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