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Senior Computer Vision Engineer
hace 3 semanas
Job Summary
This is a senior role in the development and optimization of Computer Vision models for autonomous driving applications.
Main Responsibilities:
- Develop and optimize scalable Computer Vision solutions that meet business goals and customer needs.
- Enhance real-time systems for processing LiDAR and camera data, ensuring geospatial accuracy and 3D mapping.
- Architect and optimize high-performance ML / CV models tailored for autonomous driving.
- Manage project lifecycles to ensure alignment with business objectives and customer requirements.
- Fine-tune Computer Vision algorithms, balancing performance with business demands.
- Drive automation initiatives to streamline data processing and boost mapping efficiency.
- Provide technical leadership, guiding complex discussions and facilitating team alignment.
- Champion iterative methodologies, fostering a culture of continuous innovation.
- Mentor junior engineers and scientists, contributing to a growth-oriented team culture.
Requirements
To be successful in this role, you will need:
- A PhD in Computer Vision, Machine Learning, or related fields with a focus on autonomous driving.
- 5+ years of experience in applied science roles, delivering Computer Vision projects from concept to deployment.
- Expertise in Python and Computer Vision libraries (e.g., OpenCV, PyTorch, TensorFlow).
- Familiarity with large-scale systems and tools like Spark and Databricks.
- A profound understanding of data structures and algorithms to solve practical challenges.
- Hands-on experience with sensor data processing, sensor fusion, and mapping technologies (e.g., SLAM, HD mapping).
- The ability to explain complex technical concepts to cross-functional teams effectively.
- Working knowledge of Git, Docker, Kubernetes, and cloud platforms (e.g., Azure, AWS).
