Conceptual Blade Design Engineer
ENVISION ENERGY USA LTD · Boulder, CO · 1 mo ago
On-siteEngineeringFull-time
About the role
The Global Blade Innovation Center (GBIC) at Envision Energy was established in 2015 to develop an in-house blade design group. GBIC has been collaborating with industry leaders, national labs, and top graduates to create advanced blade design capabilities. Envision's in-house designs have significantly impacted the Chinese blade market and increased market share.
Responsibilities
- Leading blade design trade studies by defining problem formulations, selecting methodologies, interpreting results, and recommending design directions.
- Generating and interpreting design space explorations to identify meaningful trends, understand complex engineering trade-offs, and guide strategic design decisions under uncertainty.
- Innovating and implementing novel design concepts and technologies that align with the current and future needs of the organization.
- Contributing to and/or leading new software tool development efforts to support the design tasks mentioned above.
- Contributing to and/or leading new blade design and technology campaigns.
- Performing 2D/3D blade and airfoil CFD using panel-methods and/or commercial CFD solvers.
- Conducting 2D airfoil design, analysis, and optimization.
- Managing, validating, and interpreting engineering datasets to ensure traceability, quality, and suitability for model development, design decisions, and technology maturation.
- Planning and performing validation studies to continually improve the accuracy of computational models vs. field performance measurements.
Requirements
- MSc or PhD in engineering (Aerospace, Mechanical, Civil etc.), applied mathematics, or physics, with 5+ years of professional experience; recent MSc or PhD graduates with relevant research experience are encouraged to apply.
- Understanding of multi-disciplinary design optimization (MDO) concepts and numerical optimization techniques such as gradient-based search, genetic algorithms, and machine learning.
- Understanding of fundamental and applied aerodynamics, including 2D airfoils, lifting wings, rotors, and horizontal axis wind turbines, and associated analysis methods like Blade-Element Momentum Theory, lifting-line, and CFD.
- Proficiency in programming and mathematical modeling in MATLAB, Python, C/C++, or similar languages.
- Experience with revision control software like Git or Mercurial.
- Understanding of structural mechanics and beam theory, and experience with composite structures.
- Understanding of aero-elasticity, basic turbine operation and control.
- Familiarity with numerical computational geometry such as NURBS.
- Understanding of AI tools to automate routine tasks and improve workflow efficiency.
- Familiarity with HPC systems and Linux.
- Demonstrated ability to make sound engineering decisions under conditions of uncertainty, incomplete information, and competing technical objectives, while balancing performance, manufacturability, cost, and risk.
- Proven ability to prioritize effectively and collaborate with multidisciplinary teams across diverse backgrounds.
Qualifications
- Strong desire to quickly learn and adapt combined with a sense of technical curiosity and a self-motivating/self-starting open mindset that will enable easy knowledge transfer.
Skills
- Strong interpersonal, collaboration, and communication skills.
- Able to clearly articulate the conclusions from complicated engineering analyses to both expert and non-expert groups alike.
- Data-driven approaches along with professional judgment and experience to solve open-ended and novel challenges.
- A hands-on approach within Envision’s highly entrepreneurial corporate culture.
- Desire and ability to work across different cultures and international time zones.
Benefits
Envision is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
Pay
N/A
Schedule
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