Lead System Value Optimization engineer, LC
GE Renewable Energy
Barcelona, Spain
hace 3 días

JOB DESCRIPTION

Job Description Summary

System Value Optimization (SVO) team is devoted to Wind Turbine systems modeling and load analysis for New Products, Cost-out programs and Fleet support, with a strong focus on product optimization.

The vision of the LC SVO team is to support LC engineering to develop winning LCOE wind turbine products for LC markets, leveraging advanced multibody dynamics simulation capabilities, system dynamics analysis and system optimization through controller tuning, while keeping high-standards on quality and on time delivery.

The role of the Lead SVO engineer includes high fidelity WT modeling, aeroelastic simulation, leading System Value Optimization assessments and simulation toolchain integration and maintenance.

Job Description

Essential Responsibilities

  • Lead integration of SVO pre / post-processing with SDM and harmonization with MWC practices (e.g. DLC matrices templates, github repositories, post-processing scripts, cMLA tools, )
  • Lead integration of SVO practices with Configurator and act as POC for the development team, testing new features and suggesting improvements.
  • Support SDM-Configurator integration from SVO (customer) side.
  • Load assessment for NPIs and RCAs, leveraging control technologies to mitigate mechanical loads & improve turbine power performance.
  • Drive simplification in the systems modeling, loads simulation and documentation, as well as component checks to resolve technical challenges supporting certification process along the chain from system modeling to experimental validation.
  • Supports high fidelity WT model creation, partnering with component owners to identify modeling improvement needs and ensure understanding of turbine topologies being used and associated input parameters.
  • Work closely with the Controlled Tittle Holders community across the business and global team members to ensure high quality and consistency on system simulation techniques & practices.
  • Contributes to continuous improvement in methods and tools in collaboration with the AT&S team and leads process related improvements regarding interfaces with the design teams.
  • Qualifications / Requirements

  • Master’s degree from an accredited university in Mechanical Engineering, software engineering or Aerospace Engineering.
  • Good coding skills (python is a must)
  • Used to work with SW repositories (e.g. github)
  • Exposure to aeroelasticity, MBS, system dynamics and fatigue loading assessment.
  • Exposure to high-fidelity MBS softwares for wind turbine aero elastic simulations (Bladed, Simpack, Hawc2, Adams, etc.).
  • Effective problem identification and solving ability.
  • Proven ability to work in a cross-functional and global environment.
  • Strong oral and written communication skills in English.
  • Strong interpersonal skills, leading and influencing skills and a positive energy.
  • Good program management skills.
  • Desired Characteristics

  • Strong coding skills
  • Wind turbine system design experience.
  • Excellent communication, interpersonal, and presentation skills, including ability to work across cultural boundaries in a global team.
  • Product or Project Management Experience.
  • Pro-active thinking & action to ensure quality.
  • Strong issue resolution skills and conflict management.
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