Lead Engineer - Turbine Operability

d code, etc.

Job Description

Roles and Responsibilities

• Drive the progressive retirement of operability related engineering risks as part of different phases of a new product introduction (NPI) cycle - from early conceptual design to product validation. Ensure turbine operation displays adequate levels of closed-loop stability, availability, robustness, and compliance to market-specific requirements such as grid codes, noise, cold weather, etc. Implement learnings from the fleet into the design phase.

• Perform controller tuning and operability assessments independently, actively collaborate with other sub-system and cross-functional teams for delivering on new products with high quality, from conceptual design to product validation stage; Project specific assessments to support new unit sales in ITO phase or project execution in OTR phase; Fleet issue resolution and root case analysis projects.

• Drive the realization of system level tradeoffs (Energy production v/s Loads, etc.) via application of controls technologies/solutions, to minimize turbine cost while pushing envelope on turbine performance and availability.

• Lead the adoption of new controller features and algorithms developed by the Controls organization as well as the ability to tune them to meet specific wind turbine systems trade-offs.

Required Qualifications

• Master's degree from an accredited university in Controls Engineering, Electrical Engineering, Mechanical Engineering, or related disciplines with specialization in Controls.

• Expertise in aspects of controls theory such as system modelling, closed-loop design, and model-based controls.

• 6-10 years in wind turbine or converter control tuning and optimizing.

• Knowledge of high-fidelity multibody simulation (MBS) software for aeroelastic simulations (Simpack, Flex5, Bladed, Hawc2, Adams, etc.). Some years of aeroelastic simulation experience applied to wind turbines.

• Strong oral and written communication skills in English.

Desired Characteristics

• Good understanding of wind turbine controls. Experience in controller code development for wind turbines. Wind turbine system design experience.
• Possessing strong analytical skills, proficiency in time series analysis and statistical thinking is advantageous.
• Basic proficiency in Matlab/Python programming, as well as GitHub version control.
• Excellent communication, interpersonal, and presentation skills, including ability and willingness to work across cultural boundaries in a global team.