About the role
Embedded AI Software Engineer Hybrid - Toronto (May consider remote) Full time Up to $180,000 pa plus equity
We are seeking an experienced Embedded AI Software Engineer to help develop and deploy next-generation AI solutions for edge devices. This role focuses on taking existing AI models, refining and optimising them for deployment on embedded hardware, with a particular emphasis on audio and computer vision applications.
You will work across the full AI deployment pipeline, transforming machine learning models into highly efficient, production-ready solutions capable of running on resource-constrained embedded systems.
Required Skills & Experience:
Experience deploying AI models to embedded or edge devi ces.Strong knowledge of TensorFlow Lite, TensorFlow Lite Micro, TinyML, or ONNX Runt ime.Experience working with computer vision and/or audio AI mod els.Strong programming skills in C/ C++.Python for AI tooling and deployment workfl ows.Experience developing for ARM Cortex-based processors and microcontroll ers.Experience with RTOS and/or Embedded Li nux.Understanding of memory-constrained and power-constrained embedded environments.
If you're passionate about bringing AI to resource-constrained devices and enjoy solving technically demanding problems, this role offers the opportunity to make a meaningful contribution while continuing to grow your expertise in one of the fastest-evolving areas of technology.
5V Tech are acting as an Employment Agency for the purposes of this permanent vacancy. We offer a reward scheme if you can recommend someone for this position, up to $250 for you and an additional $250 to a charity of your choice. 5V Tech are recognised talent solutions experts within IoT, Semiconductors, AI and Deep Tech across Europe, the UK and North America.
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About the role
Embedded AI Software Engineer Hybrid - Toronto (May consider remote) Full time Up to $180,000 pa plus equity
We are seeking an experienced Embedded AI Software Engineer to help develop and deploy next-generation AI solutions for edge devices. This role focuses on taking existing AI models, refining and optimising them for deployment on embedded hardware, with a particular emphasis on audio and computer vision applications.
You will work across the full AI deployment pipeline, transforming machine learning models into highly efficient, production-ready solutions capable of running on resource-constrained embedded systems.
Required Skills & Experience:
Experience deploying AI models to embedded or edge devi ces.Strong knowledge of TensorFlow Lite, TensorFlow Lite Micro, TinyML, or ONNX Runt ime.Experience working with computer vision and/or audio AI mod els.Strong programming skills in C/ C++.Python for AI tooling and deployment workfl ows.Experience developing for ARM Cortex-based processors and microcontroll ers.Experience with RTOS and/or Embedded Li nux.Understanding of memory-constrained and power-constrained embedded environments.
If you're passionate about bringing AI to resource-constrained devices and enjoy solving technically demanding problems, this role offers the opportunity to make a meaningful contribution while continuing to grow your expertise in one of the fastest-evolving areas of technology.
5V Tech are acting as an Employment Agency for the purposes of this permanent vacancy. We offer a reward scheme if you can recommend someone for this position, up to $250 for you and an additional $250 to a charity of your choice. 5V Tech are recognised talent solutions experts within IoT, Semiconductors, AI and Deep Tech across Europe, the UK and North America.