Sr Lead Engineer - Edge Controls

Job Description Summary

Systems engineering is a cross-functional engineering discipline centered on an approach, mindset, and process. All activities that consider both the business and the technical needs of the customers with the goal of providing a quality product that meets the users needs. The discipline that executes a robust process of design, creation, and optimization of systems, consisting of identification and quantification of system requirements, creation of alternate system design concepts, performance of design trade studies, selection and implementation of the best designs and verification that the design is properly integrated and executed. Process that proceeds from concept to production to operation.

• Perform requirements engineering for new apps and analytics, including analysis, quantification and documentation of requirements and design trade-offs for wind turbine / wind-farm level / hybrid energy systems Predix / EDGE OS / Azure IOT EDGE / other industry standard EDGE OS based analytics / optimization algorithms.
• Design analytics / optimization algorithm in Python code, as well as consolidate test case for functional and system level testing.
• Verify & validate implementation of new apps/algorithms by executing test cases either via simulation or remote testing on actual customer turbines.
• Deploy and follow established process to containerize algorithm as an app and deploy in an actual wind farm in the Predix / EDGE OS / Azure IOT EDGE / Other industry standard EDGE OS environment and verify the algorithm performance.
• Execute routine analyses using vested methods and technologies and/or contributes to technological developments in teams under supervision
• Contribute to product configuration management, sustaining and customer support
• Support product development program, design review discussions and present relevant design details to chief engineers for evaluation and approval
• Collaborate with other Engineering and Global Research Centre teams on new energy system control technology and lead design implementation efforts
• The applicant may be called to travel up to 10% of the time to support product validation, product and customer discussions

• Master / bachelor's degree in electrical / Controls / Mechatronics Engineering with Renewable Energy Emphasis preferred
• 5-6 years of experience in software development using Python, testing, validation, and deployment
• Hands on experience in building Machine Learning and ANN algorithms
• 2-3 years of experience relevant to wind turbine systems, service, Predix App development or Control system design
• Preferred experience with C/C++/C#, MATLAB Simulink, Predix, Edge OS, Azure IOT EDGE
• Hands on experience in implementing cyber security and coding standards.
• Demonstrated success in a global team environment, effective communication skills and self-starter, who delivers results with minimal supervision has context menu