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Sr. Embedded Software Engineer

Canada, Toronto or Ottawa · Job Posted December 15, 2025
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Job Responsibility

  • Design, develop, and optimize embedded software for silicon-based systems throughout the entire lifecycle, from conceptualization to deployment, ensuring seamless integration and optimal performance
  • Collaborate with cross-functional teams including hardware engineers, software developers, and machine learning experts to integrate ML models into embedded systems
  • Architect and implement software frameworks for efficient data processing, device control, and communication protocols
  • Conduct performance analysis, debugging, and optimization of embedded systems for reliability and efficiency
  • Develop software and firmware applications to interact with hardware and third-party interfaces
  • Contribute to the architecture and design of the overall AI solution
  • Develop debug and performance analysis tools for AI solution development
  • Play a role in all the phases of embedded AI software development, from requirement gathering, analysis, design, development, testing and final release to customers
  • Provide clear and timely communication related to status and other key aspects of the project to leadership team
  • Develop and maintain software documentation, including specifications, design documents, and test plans

Requirements

  • Bachelor’s in electrical engineering, Computer Engineering, or Computer Science
  • Experience with C/C++
  • Experience writing Python scripts
  • Ability to read and understand board schematics and device datasheets
  • Ability to debug embedded software using Oscilloscopes and Logic Analysers
  • Experience with SCM tools (GIT or SVN)
  • Strong analytical and problem-solving abilities
  • Strong communication skills
  • Ability to work in a multi-site team environment

Nice to have

  • 6+ years experience with embedded platforms & embedded software development
  • Experience with embedded real-time operating systems
  • Experience with development on Windows and Linux
  • Knowledge of data structures and object-oriented programming
  • Knowledge of Acceleration platforms like GPU, TPU, APU, FPGAs

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