Professional, Engineering-Multidisciplinary Design, …, Dorval

Why join us? At Bombardier, we design, build and maintain the world\u2019s peak-performing aircraft for the world\u2019s most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence together. Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what\u2019s possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise. Bombardier\u2019s Benefits Program Insurance plans (Dental, medical, life insurance, disability, and more) Competitive base salary Retirement savings plan Employee Assistance Program Tele Health Program Contributions to the team 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\u2019s 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. How to thrive in this role You hold a Master\u2019s 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 environment. You have knowledge or experience with uncertainty quantification (UQ) and optimization under uncertainty (OUU) approaches, which is considered an asset. You demonstrate a solid 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. Now that you can see yourself in this role, apply and join the Bombardier Team! You don\u2019t need all the skills, knowledge, and experience listed to apply for this position. We\u2019re not looking for the perfect candidate; we\u2019re looking for excellent talent and passionate individuals. Bombardier is an equal opportunity 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 – Qualified, Engineering – Multidisciplinary Design, Analysis & Optimization (MDAO / MDO) #J-18808-Ljbffr Apply on Kit Job: kitjob.ca/job/2ppx5w