Machine learning and real-time navigation define this 16-month internship at Trimble Applanix in Richmond Hill, Ontario, working in-office.
As a Navigation and Machine Learning Engineering Intern, you will develop advanced firmware for real-time navigation systems. Your work includes algorithm implementation, debugging, data analysis, and dataset organization. You will also use C/C++, GIT, and JIRA within an agile engineering team.
Key Responsibilities:
- Contribute to machine learning development for APX/AP+ firmware
- Debug real-time systems and analyze engineering data
- Implement algorithms for navigation system development
- Collect, structure, and organize high-quality datasets
- Produce technical documentation supporting system integration
Requirements:
- Enrollment in a master's or PhD engineering program
- Google Tensor Python development experience
- TinyML deployment experience in MCU environments
- Expertise in Kalman filtering and machine learning
- C/C++ development experience in real-time Linux environments
Apply machine learning, Kalman filtering, and C/C++ skills to real-time navigation firmware at Trimble Applanix.