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 settings
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.
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📌 Machine Learning Navigation Engineering Intern Richmond Hill
🏢 Trimble
📍 Richmond Hill