Real-Time ML Navigation & TinyML Firmware Intern

Trimble Uk; Richmond Hill; On-site; CAD 30,000 - 42,000; Full time

Job summary

Trimble Applanix offers a 16-month Navigation & Machine Learning Engineering Intern role in Richmond Hill, Canada. You will tackle real-time firmware challenges, implement cutting-edge ML algorithms, and collaborate within a high-performing team to advance autonomous positioning technology.

The role emphasizes hands-on firmware development, dataset structuring for model improvements, and producing comprehensive technical documentation for system integration.

Qualifications

• Currently enrolled in a Masters or PhD program in Electrical, Computer, Aerospace, or Mechatronics Engineering.
• Demonstrated experience with Google Tensor Python development.
• Practical experience deploying TinyML in MCU environments.
• Strong background in Kalman filtering and ML concepts.
• Fluent C/C++ development in real-time Linux environments.

Responsibilities

• Contribute to ML development activities for Trimble Applanix firmware.
• Perform debugging, data analysis, and implement algorithms for real-time systems.
• Develop software using Git and JIRA within an Agile team.
• Collect and organize high-quality datasets to power navigation model improvements.
• Produce technical documentation for system integration and ongoing development.

Skills

TensorFlow

Python

TinyML

Kalman filtering

C/C++

Linux (RT)

Education

Masters or PhD in Electrical/Computer/Aerospace/Mechatronics

Tools

Git

JIRA

MCU toolchain

Job description

Trimble Applanix offers a 16-month Navigation & Machine Learning Engineering Intern role in Richmond Hill, Canada. You will tackle real-time firmware challenges, implement cutting-edge ML algorithms, and collaborate within a high-performing team to advance autonomous positioning technology.

The role emphasizes hands-on firmware development, dataset structuring for model improvements, and producing comprehensive technical documentation for system integration.