Navigation & Machine Learning Engineering Intern (16 Months)
On-site
Core
Develop advanced firmware for real-time navigation systems by implementing machine learning algorithms and TinyML in MCU environments.
Role type
Machine Learning Engineering Intern (Firmware)
Builds
Real-time navigation firmware for autonomous positioning systems
Domain
Aerospace/Geospatial engineering + Embedded Systems
Deliverable
production ML models
Required skills
Kalman filtering, TinyML deployment, C/C++, Python, Linux, Git, JIRA, data analysis, algorithm implementation
Preferred skills
System-level integration, multi-component hardware/software development
Technologies
Google Tensor, Python, C/C++, Linux, Git, JIRA, MCU, Kalman filters
Responsibilities
Implement ML algorithms in navigation firmware, debug real-time systems, collect and structure datasets for model improvement, produce technical documentation
Seniority
Intern
