Embedded Artificial Intelligence Architect

Embedded Artificial Intelligence Architect Job Category: Engineering
- Posted : May 14, 2026
- Full-Time Locations Showing 1 location Sainte-Anne-de-Bellevue, QC H9X3R2, CAN Description Building the space between proven and possible, MDA Space (TSX:MDA) is a trusted mission partner to the global space industry. A robotics, satellite systems and geointelligence pioneer with a 55-year+ story of world firsts and more than 450 missions, MDA Space is a global leader in communications satellites, Earth and space observation, and space exploration and infrastructure. The MDA Space team of more than 4,000 space experts in Canada, the US and the UK has the knowledge and know-how to turn an audacious customer vision into an achievable mission – bringing to bear a one-of-a-kind mix of experience, engineering excellence and wide-eyed wonder that’s been in our DNA since day one. For those who dream big and push boundaries on the ground and in the stars to change the world for the better, we’ll take you there. For more information, visit www.mda.space. For those who dream of advancing our space in the Universe and on Earth, we’ll take you there. Serving the world from our Canadian home and our global offices, MDA is an international space mission partner and robotics & space operations, satellite systems and geointelligence pioneer with a 50-year story of firsts on and above the Earth. Today, we’re leading the charge towards viable Moon colonies, enhanced Earth observation, communication in a hyper-connected world, and more. We’re fueled by a pioneering spirit that carries us beyond. And together we enable highly skilled people to continually push boundaries and tackle big challenges requiring solutions that endure and inspire. Are you ready to launch the next stage of your career in the new space economy? We would love to hear from you We’re on the hunt for an Embedded Artificial Intelligence Architect on our Satellite systems team at our Montreal office. As the leading global independent commercial supplier of antennas, payloads, and electronics for communication and radar satellites, our team has successfully contributed to hundreds of missions in the past 60 years. With an extensive heritage in a wide range of solutions delivered to customers globally, our Satellite Systems team continues to grow and evolve on the ground and in the stars. We’re a dream team of purpose-driven, collaborative and passionate people, and we are constantly looking for others to join #TeamMDA to ignite new and innovative approaches to problem-solving that push us forward to improve life on and above Earth. If you’re excited to expand our place in space and driven to inspire the next generation, we’ll take you there. We have entered a new era of exploration and development, and MDA welcomes all who yearn to suit up and be part of it. An equal opportunity employer prizing diversity, integrity and collaboration, we are committed to growing MDA’s and Canada’s leadership in this next golden age. Role The Embedded Artificial Intelligence Architect (Technical Lead) is responsible for the architecture, documentation, implementation, and training of complex AI/ML models for ground systems and embedded platforms, including those hosted on MDA’s AURORA™ software‑defined satellites—enabling AI capabilities in space. The role will initially focus on ground‑based development and validation, progressing to on‑board deployment where it delivers clear mission value and ROI (e.g., network traffic prediction, anti‑jamming mitigation, and cognitive radio applications). Initially, this position will serve as the single accountable architect for AI, with the goal of achieving an initial deployment this year or early next year. Responsibilities
- Lead the design and delivery of embedded AI solutions for satellite systems.
- Provide technical leadership across the AI/ML lifecycle (concept, architecture, implementation, verification, and deployment), including mentoring and technical decision‑making.
- Collaborate with AI/ML experts across MDA divisions to share best practices and accelerate development.
- Perform problem formulation and feasibility studies for AI/ML applications in telecommunication satellites.
- Define a phased roadmap from ground prototypes to on‑board inference, prioritizing deployments based on mission impact, risk, and ROI.
- Refine requirements and select appropriate model architectures to meet mission needs within embedded compute, power, memory, and latency constraints.
- Develop and evaluate AI/ML approaches for network traffic prediction, anti‑jamming mitigation, and cognitive radio functions, and translate results into deployable system capabilities.
- Assess and prototype suitable learning approaches—including offline training, online adaptation, and (where appropriate) reinforcement learning—while ensuring robustness and verifiability for operational use.
- Design and implement complex simulators (e.g., dig