Apply machine learning, Python, and C/C++ skills as an in-office intern developing real-time navigation firmware in Richmond Hill.

Trimble Applanix seeks a Navigation and Machine Learning Engineering Intern for a 16-month placement. You will develop advanced firmware for real-time navigation systems while implementing machine learning algorithms for APX/AP+ firmware. The work includes debugging, data analysis, algorithm implementation, dataset preparation, and technical documentation.

Key Responsibilities:
Support machine learning development for Trimble Applanix APX/AP+ firmware
Debug real-time systems and analyze navigation data
Implement algorithms for real-time navigation applications
Develop software with GIT and JIRA in agile teams




Organize datasets and document system-level integration

Requirements:
Enrolled in a relevant engineering master's or PhD program
Experience with Google Tensor Python development
Experience deploying TinyML libraries in MCU environments
Expertise in Kalman filtering and machine learning techniques
Fluent C/C++ development in real-time and Linux settings

Build navigation firmware expertise through machine learning, TinyML, Kalman filtering, C/C++, Python, Linux, and APX/AP+ development.
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📌 Machine Learning Navigation Engineering Intern Richmond Hill (Canada)
🏢 Trimble
📍 Canada