Systems Engineering Specialist leading C++ algorithms and optimization for Telesat’s Lightspeed satellite network. Modeling constellation performance and guiding engineering software architecture.
Responsibilities
Lead the technical direction of the Lightspeed System Model
Design, develop, and validate C++ algorithms and optimization methods
Translate system requirements into mathematical models, resource allocation strategies, and implementable algorithms
Evaluate algorithm correctness, computational efficiency, and solution quality through testing, simulation, and performance analysis
Oversee Lightspeed constellation performance analysis, including throughput, latency, satellite handover, availability, capacity, and regulatory compliance metrics
Collaborate with System Modeling, Software Development, Quality Assurance, and System Engineering teams on integration and testing
Mentor junior engineers and support continuous improvement in engineering practices
Work with Telesat teams on satellite payload and ground segment characteristics, performance metrics, performance evaluations, and regulatory compliance
Lead assessments of design alternatives and system architectures
Prepare and review technical documentation covering models, algorithms, assumptions, validation methods, and results
Apply Agile software development methods
Maintain code quality through unit testing, code reviews, refactoring, and coding standards
Requirements
Must be able to work in Canada
Must obtain clearance under the Canadian Controlled Goods Program (CGP)
Master's degree in Electrical Engineering, Systems Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, Operations Research, or a related field, with relevant professional experience in system design, modeling, algorithm development, or optimization; or a PhD in one of these fields with relevant research
Strong working knowledge of C++ and ability to design, implement, test, and maintain engineering software
Strong knowledge of algorithm design and analysis, data structures, computational complexity, and performance trade-offs
Strong knowledge of mathematical optimization
Ability to translate complex engineering problems into mathematical models and software implementations and validate results against system requirements
Strong understanding of the software development lifecycle, Agile methodologies, and code quality practices
Fluency in written and spoken English
Benefits
Full-time hire with benefits
Equal opportunity employer
Interview-process accommodations for qualified applicants
Confidential handling of accommodation information
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