About the job
Netradyne leverages cutting-edge Computer Vision and Edge Computing to transform the transportation landscape. As a pioneering entity in fleet safety solutions, we have experienced an extraordinary growth rate of over 400% annually. Our innovative approach is rapidly establishing our technology as a disruptive force within the industry. To sustain our trajectory, we are actively seeking visionary and competitive individuals to join our expanding team.
Key Responsibilities:
In the role of Staff Software Machine Learning Engineer specializing in System Optimization, you will be responsible for designing and refining processes to guarantee the efficient and high-performance functionality of our proprietary driver monitoring and assistance technology. Your key responsibilities will include:
- Developing and enhancing tools, frameworks, and reporting systems for system optimization.
- Optimizing software for deployment across IoT devices, including implementation on GPU/CPU/DSP platforms.
- Advancing data platforms and fine-tuning machine learning models utilized on our platforms.
- Refining driver monitoring and assistance algorithms to enhance system efficiency and track crucial performance indicators (KPIs).
- Handling production inquiries and ensuring the stability of applications in live environments.
- Effectively communicating complex technical findings to a diverse audience.

