Job Description Summary
GE Renewable Energy is helping change the world and has a focused portfolio of onshore wind products and services to meet the need for cleaner power today and tomorrow.
At GE Renewable Energy, our engineers are always up for the challenge - and are always driven to find the best solution.
Surrounded by committed colleagues, if you can dare to bring your ingenuity and desire to make your mark, you’ll be exposed to game-changing, diverse projects that truly allow you to play your part in the green energy transition.
We are fully committed to full gender equality and diversity inclusion, aiming for
the best professionals in an equal employment opportunity environment
We are looking for Senior Engineers to join Systems Value Optimization team at multiple GE locations.
This is a generic posting looking for professionals with deep expertise in broader fields. Ultimate role and responsibilities will be defined together with applicants during the recruitment process based on best fit.
We are offering relocation and immigration support including immigration services to secure a local hire work permit. We strive to support work-life balance with different flexibility options.
We might also consider eligibility to fully remote position
Role & Responsibilities :
The System Value Optimization Team is responsible for conceptual design of new wind turbines, system simulation through the new product development process, site specific optimization of new wind farms, and the development of analytical tools and methods.
This System Value Optimization Senior Engineer is responsible for :
Collaborating with the Applications Engineering team to develop solutions that enhance wind farm value and grow product application space
The development and validation of system simulation models
Executing and advancing wind turbine system simulation models for the purposes of system design, analysis, loading calculations, etc.
Provide technical expertise in multi-body simulation analysis and model construction to the rest of the System Value Optimization team
Assist with the verification and validation of wind turbine simulation models
Develop new processes for the execution of system stability analysis by the System Value Optimization team
Execute system-level stability analysis for the purposes of product development, risk assessments, RCAs, etc.
Develop, tune, and maintain the wind turbine dynamic simulation models according to IEC guidelines and GE design processes
Perform loads calculations for new turbine configurations and turbine upgrades
Identify opportunities for simplification and automation of processes for loads simulations
Assist in the development of computational tools and process automation
Qualifications / Requirements
Bachelor's Degree in Engineering or closely related field.
Minimum of 10 years’ experience in Engineering or closely related field.
Experience with wind turbine system optimization or design tradeoffs to reduce wind turbine levelized cost of electricity
Experience with multi-body simulation codes (ADAMS, Simpack, etc.)
Experience with system-level stability or dynamics analysis
Experience with the development and validation of system simulation models
Knowledge of wind turbine operation, control technologies, operability, or validation
Strong written and oral communication skills
Python programming experience
Demonstrated ability for process automation projects
Experience with the new product introduction process
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an .
Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided : Yes