Amazon

DESCRIPTION

Amazon is building the next generation software, hardware, and processes that will run global manufacturing processes for our Devices. We are constantly innovating in the ways we are automating and accelerating the delivery of products and packages which includes building custom hardware and applying robotics, mobility, supply chain optimization, machine learning, manipulation, image processing, and real-time data processing using distributed systems.

Key job responsibilities

• Develop advanced simulations and data analyses to optimize automation system configuration options to meet end-to-end system goals, integrating Amazon’s internally developed robotics with externally supplied material handling systems.
• Validate simulation models using production data streams, site visits, and correspondence across engineering, robotics, software, and operations teams to ensure models have sufficient detail to enable accurate quantitative evaluation of performance
• Utilize simulation models to identify and justify performance improvement opportunities via control logic, hardware, and process flow changes
• Work closely with Tech Deployment teams to implement end-to-end solutions in the field

A day in the life

We are looking for an innovative and solutions-oriented engineer to optimize complex process flows leveraging state-of-the-art robotics and other advanced automation systems on a massive scale. This position is a unique opportunity to be involved in a wide range of automation projects right from the start. You will interface with multiple internal Amazon R&D and design teams as well as the world’s leading automation strategic partners who have the technology and resources to meet Amazon’s growth needs on a global scale. You will work on projects that optimize performance, quality, and delivery of new automation systems, and leverage operational data to deliver results for an extensive advanced automation installed base. This is an excellent opportunity for an automation engineer looking to transition into a highly strategic, globally significant role.

BASIC QUALIFICATIONS

• Engineering degree in mechanical, electrical, industrial, robotics, mechatronics or equivalent.
• Bachelor degree
• Background in Computer Vision, Machine Learning and Robotics
• Experience with building and deploying AI systems in manufacturing automation
• Experience developing integration interfaces for industrial robot manipulators
• Hands-on expertise in robotics technologies, from front-end user interfaces to back-end systems
• Experience applying modelling and simulation to industrial automation projects
• Experience working with cross functional teams, suppliers, and field operations to define system requirements and evaluation metrics
• Excellent written and oral communication skills

PREFERRED QUALIFICATIONS

• Competence with computational packages for simulation and optimization
• Experience with programming languages
• Industrial controls engineering experience -
• Experience with complex machine learning models of physical systems, commissioning of industrial control software
• Proficiency with machine and process reliability, integration of human and automated processes, experimental design, statistical analysis

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.

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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.