About the job
Netradyne leverages advanced Computer Vision and Edge Computing technologies to transform the transportation industry. As a pioneering leader in fleet safety solutions, we have experienced a remarkable growth rate of over 400% year-on-year. Our innovative solutions are rapidly gaining recognition as a disruptive force in the market. To sustain this momentum, we are seeking visionary and competitive team members who are ready to contribute to our dynamic growth journey.
Job Overview:
Netradyne is on the lookout for exceptional engineers to join our Analytics team, which includes graduates from prestigious institutions such as IITs, IISC, Stanford, UIUC, and UCSD. As a Senior Staff Research Engineer, you will spearhead the development of cutting-edge AI solutions that empower drivers and fleets to identify unsafe driving scenarios in real-time, effectively preventing accidents and reducing fatalities. You will collaborate with diverse teams to create and deploy scalable and reliable AI solutions in a fast-paced environment.
Key Responsibilities:
- Design, implement, and commercialize driver monitoring and assistance algorithms.
- Utilize extensive datasets to deploy new algorithms/models across thousands of vehicles.
- Architect data-driven solutions while tracking key performance metrics.
- Enhance machine learning infrastructure for scalable training and inference.
- Innovate and develop proof-of-concept solutions demonstrating novel capabilities.
