Machine Learning Navigation Engineering Intern

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.