Senior Computer Vision Engineer

Overview

• Lead the development of advanced computer vision algorithms for autonomous systems, ensuring high accuracy and reliability in real-time applications.
• Architect and optimize machine learning models tailored for embedded systems, balancing computational efficiency and performance.
• Collaborate with multidisciplinary teams to integrate vision capabilities seamlessly into hardware platforms.
• Conduct rigorous testing and validation across diverse operational scenarios to ensure system robustness.
• Mentor and guide junior engineers, fostering innovation and technical growth within the team.
• Contribute to the development and deployment of military-grade systems tailored to specific operational needs.
• Engage in a dynamic work environment that values creative problem-solving and collaboration.

Key Responsibilities & Duties

• Design and implement computer vision algorithms for autonomous systems, ensuring real-time processing capabilities.
• 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 various 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 the transition of prototypes to 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.