The client develops automotive Advanced Driver Assistance Systems (ADAS), including cost-effective L2/L3 solutions that improve driving safety. The Senior/Staff Computer Vision Engineer will develop, optimize, validate, and deploy advanced deep learning perception models on embedded automotive platforms while collaborating with cross-functional engineering teams.
Responsibilities
- Design and implement advanced deep learning architectures to enhance perception capabilities within ADAS systems
- Maintain and continuously improve existing models by optimizing performance, addressing issues, and refining architecture and algorithms
- Perform detailed root cause analysis of production issues and develop sustainable, high-quality solutions
- Optimize model performance with a focus on latency, efficiency, and resource utilization for real-time embedded deployment
- Integrate and validate deep learning algorithms on automotive-grade hardware and embedded SoCs
- Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration
- Provide regular updates and technical reports on model development, maintenance progress, and performance metrics to management