Staff Computer Vision Engineer

Staff Computer Vision Engineer Overview

• Lead the development of cutting-edge computer vision technologies for autonomous systems and robotics applications.
• Collaborate with multidisciplinary teams to integrate advanced machine learning algorithms into high-performance embedded systems.
• Drive innovation by conducting research to advance real-time vision technologies and maintain industry leadership.
• Mentor and guide engineering teams to foster technical excellence and professional growth.
• Contribute to the design and optimization of scalable systems for robust performance in diverse applications.
• Ensure the reliability and efficiency of algorithms through rigorous testing and validation processes.
• Support the transition of innovative prototypes to production-grade systems for deployment.
• Engage in cutting-edge research to enhance computer vision and robotics technologies.

Staff Computer Vision Engineer Key Responsibilities & Duties

• Develop and refine advanced computer vision algorithms for autonomous systems and robotics applications.
• Design machine learning models optimized for real-time performance and resource efficiency.
• Collaborate with hardware teams to ensure seamless integration of vision systems into embedded architectures.
• Conduct rigorous testing to validate algorithm performance across diverse operational scenarios.
• Mentor junior engineers, enhancing team capabilities and fostering innovation.
• Support the transition of prototypes to production-grade systems with advanced applications.
• Stay updated on advancements in computer vision and robotics to drive innovation.
• Contribute to the development of scalable solutions for complex vision challenges.

Staff Computer Vision Engineer Job Requirements

• Master's degree in Electrical Engineering, Computer Science, or a related field with a focus on machine learning and computer vision.
• Minimum of 7 years of experience in developing machine-learning-based computer vision solutions.
• Proficiency in programming languages such as Python and C++, and frameworks like TensorFlow or PyTorch.
• Experience with embedded systems and hardware integration of vision algorithms.
• Knowledge of sensor technologies including cameras, LIDAR, and RADAR, and their application in autonomous systems.
• Proven track record in deploying real-time computer vision systems in operational environments.
• Strong leadership and mentoring skills to guide technical teams effectively.
• Ability to lead research initiatives and contribute to innovative solutions in the field.