Senior Computer Vision Engineer

Overview

• Lead the development of cutting-edge computer vision technologies for autonomous systems, ensuring high performance and reliability in diverse applications.
• Architect and optimize machine learning models tailored for embedded platforms, balancing computational efficiency and accuracy.
• Collaborate with multidisciplinary teams to integrate advanced vision capabilities into complex hardware systems seamlessly.
• Conduct rigorous testing and validation to ensure robustness and reliability across diverse operational scenarios.
• Mentor and inspire junior engineers, fostering innovation and technical excellence within the team.
• Engage in dynamic projects within a collaborative environment that values creativity and technical expertise.
• Contribute to the development of high-performance systems tailored to specific operational requirements.

Key Responsibilities & Duties

• Design and implement sophisticated computer vision algorithms for real-time autonomous systems.
• Develop and deploy machine learning models optimized for embedded hardware platforms.
• Integrate vision algorithms with multi-sensor systems, including cameras, LiDAR, and radar.
• Validate system performance under diverse environmental and operational conditions.
• Collaborate with cross-functional teams to ensure seamless integration and functionality.
• Provide technical mentorship and guidance to junior engineers, fostering team development.
• Contribute to transitioning prototypes into fully operational systems meeting stringent requirements.

Job Requirements

• Bachelor’s degree or higher in Computer Science, Electrical Engineering, or related field.
• 6+ years of experience in computer vision and machine learning systems development.
• Proficiency in programming languages such as Python and C++.
• Experience with machine learning frameworks like PyTorch or TensorFlow.
• Knowledge of embedded systems and hardware integration techniques.
• Familiarity with multi-sensor systems, including cameras, LiDAR, and radar.
• Strong collaborative skills and a passion for mentoring and problem-solving.