We are seeking an Embedded Artificial Intelligence Architect (Technical Lead) to design, implement, and deploy AI/ML solutions for satellite systems at MDA’s Montreal office. Role The Embedded Artificial Intelligence Architect is responsible for architecting, documenting, implementing, and training complex AI/ML models for ground systems and embedded platforms hosted on MDA’s AURORA software‑defined satellites. The role will begin focused on ground‑based development and validation, then progress to on‑board deployment, delivering mission‑critical AI capabilities such as network traffic prediction, anti‑jamming mitigation, and cognitive radio applications. Responsibilities Lead the design and delivery of embedded AI solutions for satellite systems. Provide technical leadership across the AI/ML lifecycle, including mentoring and 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, translating results into deployable system capabilities. Assess and prototype suitable learning approaches—including offline training, online adaptation, and reinforcement learning—while ensuring robustness and verifiability for operational use. Design and implement complex simulators (digital twins) to generate representative training data. Create, curate, and manage datasets used for training, validation, and testing. Define metrics and evaluate model performance, robustness, and resource utilization on target platforms. Author and maintain technical documentation (architecture, design, training, verification, and deployment). Partner with system engineers and software developers to integrate AI capabilities into the end‑to‑end solution. Requirements Scientific degree in AI/ML, Computer Science, Computer Engineering, or equivalent practical experience. 10+ years of embedded software development experience. Hands‑on experience deploying or prototyping ML models on embedded targets (e.g., Raspberry Pi, FPGA‑class devices). Strong Python skills; experience with TensorFlow (embedded deployment) and/or PyTorch. Proficiency in production‑quality C/C++ code. Experience with version control and collaborative development workflows (e.g., Git). Ability to work independently, prioritize effectively, and operate with minimal supervision. Strong written and verbal communication skills in English and/or French. Strong interpersonal skills and the ability to work effectively in large, cross‑functional teams. Disciplined, resourceful, and committed to high‑quality engineering outcomes. Nice to Have PhD in AI/ML, Computer Science, or Computer Engineering. Experience with networking concepts, protocols, and architectures (e.g., DVB‑S2X, 5G NTN, IP routing, SDN). Knowledge of satellite communication standards. CUDA experience and/or GPU optimization for model training or inference. Experience with RF systems and signal‑processing fundamentals. Experience using Jira and Confluence (or similar tools) to manage work and documentation. Experience with embedded Linux. Experience with disciplined software development practices (code reviews, testing, CI/CD). Fluency in French. Special Considerations Successful candidates must obtain and hold a security clearance at the reliability status level, and pass security assessment for the Controlled Goods Program (CGP) and ITAR. Benefits MDA offers competitive compensation and benefits, including extended health care, flexible drug plans, dental and vision benefits, disability income protection, life insurance, group retirement savings plans, and an employee and family assistance program. Equal Opportunity MDA is an equal opportunity employer that prizes diversity and inclusion. We are committed to treating all employees and applicants for employment with respect and dignity. If you require assistance and/or reasonable accommodation due to a disability during the application or recruiting process, please let us know. #J-18808-Ljbffr