Ai jobs in France

Amazon opened its virtual doors in 1995 and strives to be the world’s most customer-centric company, where customers can find and discover anything they might want to buy online. Amazon Logistics (AMZL) is looking to hire an experienced, innovative, hands-on, and customer-obsessed Software Development Engineer to lead the software development of new robotic products to integrate into our Delivery Station of the future. The successful candidate will be a member of the Amazon Logistics Innovation Engineering team and will be responsible to strategize, define and manage the software development of robotics technologies for the AMZL Delivery Stations.

This role requires experienced and entrepreneurial minded individuals with combined robotics, engineering, planning and analytical skills. This individual will directly influence the Amazon last mile automation roadmap by partnering with Robotics, SW Tech Teams, Process Engineering teams, Operations, Facilities and Engineering teams to improve our final customer shopping experience.

Key job responsibilities

As a System Development Engineer, you will be a part of the team of experts working on the development of complex mechatronics products. The keys skills required for this role are:

• Advanced technical expertise in industrial automation systems (TIA Portal 16+, Codesys 3.5, HMI, VFDs, Servo Drive, Industrial Fieldbuses like Ethernet-IP Profinet EtherCAT, IO-Link)
• Advanced technical expertise in the industrial communication protocol (TCP-IP, OPC-UA)
• Strong problem-solving and troubleshooting abilities for complex systems
• Hands-on experience with camera systems and Linux OS (preferred)
• Familiarity with version control systems like git
• Knowledge of Object-Orientated Industrial Programming (OOIP)
• Experience managing software development, including designing, developing, integrating, troubleshooting, and optimizing various automation solutions
• Strong project management skills, including on-site commissioning and SAT processes
• Excellent problem-solving and communication skills across diverse cultural contexts
• Familiarity with international safety machinery standards and certification processes
• Experience with automation solutions like conveyors, sorters, and robotic work cells
• Write requirements and technical specifications
• Conduct regular technical reviews and reporting
• Lead the discussion for the automation scalability strategy of new technologies working with various teams like Engineering, vendors, Supply Chain, Corp Dev, Maintenance Team.

About the team

You will coordinate the development and the continuous improvement of a set of software libraries and applications for AMZL. Your day could include: working with Product owners, System Developer and other SDE and technical stakeholders to define the software architecture for new concepts for AMZL with automation and robotics technologies, ensuring the standardization and scalability of the solution. You will deep dive on understanding software of new techs made by vendors and how to integrate them in the AMZL Software Architecture. Coordinate the tests and commission of the developed software in the AMZL Innovation Center.

BASIC QUALIFICATIONS

Bachelor's degree in Computer Science, Automation Engineering, or equivalent

Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

Experience in systems design, software development, operations, automation, and process improvement

Experience building tools for building, testing, releasing or monitoring

Non-internship professional software/system development experience

Programming Experience in Codesys

Experience in the software development of automation products

Experience in the design and validation of complex control systems

Proven capabilities in managing complex projects

Experience in reviewing electrical drawings in Eplan, Elecamad etc, CAD and Simulation tools

Experience in the management of complex automation projects dealing with different teams and stakeholders

PREFERRED QUALIFICATIONS

• Master's degree in Automation Engineering, Mechatronics Engineering, Electrical Engineering, or equivalent
• Experience building with Machine learning, IoT, AI platforms