Professional, Engineering - Multidisciplinary Design, Analysis & Optimization (MDAO / MDO)
Bombardier is hiring a Professional, Engineering - Multidisciplinary Design, Analysis & Optimization (MDAO / MDO). Level rates it ; you can apply on Bombardier.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level lists 994 other open roles at Bombardier.
- The role was posted within the past two weeks.
AI in this role
When applicable, Bombardier promotes flexible and hybrid work policies.
Why join us?
At Bombardier, we design, build and maintain the world’s peak-performing aircraft for the world’s 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's 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’s Benefits Program
With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
- Insurance plans (Dental, medical, life insurance, disability, and more)
- Competitive base salary
- Retirement savings plan
- Employee Assistance Program
- Tele Health Program
What are your contributions to the team?
- Design, develop, and maintain software tools for a large-scale, industrial-grade Multidisciplinary Design, Analysis and Optimization (MDO/MDAO) framework built on a mix of in-house, commercial, and open-source components.
- Assume technical leadership for the evolution, maintenance, and continuous improvement of this optimization framework, from shaping the architecture to day-to-day code health.
- Own the framework's development infrastructure: CI/CD pipelines, automated testing, code reviews, versioned releases, and user-facing documentation.
- Contribute to code reviews and quality gates to keep the codebase healthy, sustainable, and welcoming to new contributors.
- Design, implement, and validate new capabilities in the internal codebase, and improve existing ones in close collaboration with disciplinary domain owners, with a focus on robust, maintainable, reusable, and extensible workflows.
- Integrate optimization algorithms, machine-learning models, disciplinary analysis tools, and pre/post-processing utilities within the company's Digital Engineering environment.
- Collaborate closely with aircraft design, analysis, systems, and performance teams to ensure alignment between developed tools and business needs.
- Present results, methodological choices, and technical orientations to senior experts, fellows, and decision‑making bodies.
- Conduct active technological and scientific reviews in MDO architecture and tools to influence the technical roadmap.
- Supervise interns.
How to thrive in this role?
- You hold a Master’s degree or Ph.D. in Aerospace Engineering, Mechanical Engineering, Applied Mathematics, Scientific Computing, or a related field.
- You bring hands-on experience with Multidisciplinary Design, Analysis and Optimization (MDO/MDAO), in particular the development, maintenance, and usage of MDO frameworks (OpenMDAO, GEMSEO, etc.).
- You are proficient in modern software development practices, including version control (Git) and remote repositories (Azure DevOps, GitLab), CI/CD pipelines, automated testing, code review, and release management. Experience with AI-agent-assisted software development is considered an asset.
- You have built and maintained large-scale scientific software frameworks, with an eye for architecture, modularity, and long-term maintainability.
- You are comfortable with High-Performance Computing (HPC) and cross-platform (Windows, Linux) environments.
- You have experience or a strong interest in integrating advanced tools and software within a Digital Engineering environment.
- A good understanding of aircraft systems, their interactions, and their impact on aircraft configuration and structure is considered an asset.
- You can understand, analyze, and synthesize scientific publications to translate state‑of‑the‑art methods into applicable solutions for an industrial context.
- You are open-minded, curious, rigorous, methodical, and pragmatic, with excellent analytical and problem-solving skills.
- You seek a harmonious and cohesive team environment, value knowledge sharing, and communicate with clarity, tailoring your message to fit any audience.
Now that you can see yourself in this role, apply and join the Bombardier Team!
Please note: You don’t need all the skills, knowledge, and experience listed to apply for this position. We’re not looking for the perfect candidate, we’re looking for great 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 Professional, Engineering - Multidisciplinary Design, Analysis & Optimization (MDAO / MDO)
Primary Location Administrative Centre (CA)
Organization Aerospace Canada
Shift Day job
Employee Status Regular
Requisition 16163 Professional, Engineering - Multidisciplinary Design, Analysis & Optimization (MDAO / MDO)
How we rate this
Professional, Engineering - Multidisciplinary Design, Analysis & Optimization (MDAO / MDO) at Bombardier rates 21 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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