Professional, Engineering-Multidisciplinary Design, …, Dorval

When applicable, Bombardier promotes flexible and hybrid work policies. Benefits Insurance plans (Dental, medical, life insurance, disability, and more) Competitive base salary Retirement savings plan Employee Assistance Program Tele Health Program Responsibilities Design, develop, and maintain software tools dedicated to a large-scale industrial-level multidisciplinary design, analysis, and optimization (MDO/MDAO) framework. Collaborate closely with aircraft design, analysis, systems, and performance teams to ensure alignment between developed tools and business needs. Assume a technical leadership role in the maintenance, evolution, and continuous improvement of an existing multi‐fidelity optimizer. Design, implement, and validate new algorithmic approaches within internal codebases, with a particular focus on advanced Bayesian and multi‐fidelity optimization strategies. Implement optimization under uncertainty (OUU) strategies to support decision‐making in the presence of epistemic and aleatory uncertainties, and assess their impact on aircraft performance, design margins, and technical risks. Perform advanced statistical analyses, including sensitivity analyses and uncertainty propagation. Develop and train machine learning models to support optimization, performance prediction, and uncertainty quantification. Integrate machine learning models, optimization algorithms, and statistical methods within the company's Digital Engineering environment. Present results, methodological choices, and technical orientations to senior experts, fellows, and decision‐making bodies. Conduct active technological and scientific reviews in MDO, Bayesian optimization, uncertainty quantification, and optimization under uncertainty in order to influence the technical roadmap. Supervise interns. Qualifications You hold a Master's degree or Ph.D. in Aerospace Engineering, Mechanical Engineering, Applied Mathematics, Scientific Computing, or a related field. You have a specialization in Multidisciplinary Design, Analysis, and Optimization (MDO/MDAO), including the usage of MDO frameworks (openMDAO, GEMSEO, etc.) You demonstrate a strong expertise in multi‐fidelity optimization methods and an excellent understanding of Bayesian methods, including Bayesian optimization and probabilistic models, which are essential for this role. You can understand, analyze, and synthesize scientific publications in order to translate state‐of‐the‐art methods into algorithmic solutions applicable in an industrial context. You are comfortable with software development, including version control using Git and CI/CD practices. Experience with software development assisted by AI agents is considered an asset. You have experience with High-Performance Computing (HPC) and cross-platform (Windows, linux) computing. You have experience or a strong interest in integrating advanced tools and software within a Digital Engineering workplace. You have knowledge or experience with uncertainty quantification (UQ) and optimization under uncertainty (OUU) approaches, which is considered an asset. You demonstrate a strong understanding of machine learning concepts, including supervised and unsupervised approaches, as well as principles of training, validation, hyperparameter tuning, and model evaluation. This is considered an asset. You have a good understanding of aircraft systems, their interactions, and their impact on aircraft configuration and structure. You are open‐minded, curious, rigorous, and methodical. You seek a harmonious and cohesive team environment and value knowledge sharing among team members. You have excellent analytical and problem‐solving skills. You have strong communication skills and can easily adapt your communication to your audience. Bombardier is an equal prospect employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply. Job Details Job: Professional, Engineering-Multidisciplinary Design, Analysis & Optimization (MDAO / MDO) Primary Location: Administrative Centre (CA) Organization: Aerospace Canada Shift: Day job Employee Status: Regular Requisition: 12787 Professional, Engineering-Multidisciplinary Design, Analysis & Optimization (MDAO / MDO) #J-18808-Ljbffr Apply on Kit Job: kitjob.ca/job/2p6noq