Senior Software Engineer – AI/Computer Vision – Camera Systems
| Company | Motorola |
|---|---|
| Location | Toronto, ON, Canada, Vancouver, BC, Canada |
| Salary | $75700 – $155200 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field. Masters or Ph.D. is a plus.
- 2+ years of experience technically leading teams
- 5+ years of experience in C++ software development, with a strong emphasis on performance optimization.
- Significant experience working with camera systems, including image processing, video encoding/decoding, and camera SDKs/APIs.
- Experience implementing and deploying AI models on embedded platforms is highly desired.
- Proficiency in Python and Go for scripting and tooling are pluses
- Strong understanding of software engineering principles, including design patterns, testing methodologies, version control, and task/bug tracking (e.g., Git, Jira).
- Experience with Linux/embedded Linux development environments.
- Excellent problem-solving and debugging skills.
- Ability to work independently and as part of a team.
- Strong communication and collaboration skills.
- Experience with computer vision libraries (e.g., OpenCV) is a plus.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, ONNX Runtime) is a plus.
- Experience with DevOps, architecting and developing cloud applications, and/or creating CI/CD systems are also all pluses.
Responsibilities
- Technically lead projects and individually contribute
- Design, develop, and test high-performance modern C++ code for implementing AI models and computer vision algorithms on embedded camera platforms.
- Optimize code for performance and resource constraints on embedded systems.
- Integrate and deploy AI models onto camera hardware.
- Collaborate with AI/ML engineers to translate models into efficient C++ implementations.
- Work with camera SDKs and APIs to access and process video streams.
- Develop and maintain unit and integration tests.
- Participate in code reviews and contribute to best practices and documentation
- Troubleshoot and debug software issues on embedded systems.
- Contribute to the development of new features and enhancements for our camera systems.
- Stay up-to-date with the latest advancements in AI, computer vision, and embedded systems.
Preferred Qualifications
- Experience implementing and deploying AI models on embedded platforms is highly desired.
- Proficiency in Python and Go for scripting and tooling are pluses
- Experience with computer vision libraries (e.g., OpenCV) is a plus.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, ONNX Runtime) is a plus.
- Experience with DevOps, architecting and developing cloud applications, and/or creating CI/CD systems are also all pluses.