Shape the future of autonomous systems with cutting-edge computer vision innovation. Collaborate with experts to develop robust embedded solutions. Advance your career while mentoring and inspiring engineering talent.
Senior Computer Vision Engineer
in Information Technology PermanentJob Detail
Job Description
Overview
- Lead the design and development of cutting-edge computer vision solutions for autonomous systems, ensuring robust performance and reliability.
- Architect and optimize machine learning models tailored to embedded platforms, balancing computational efficiency and accuracy.
- Collaborate with multidisciplinary teams to integrate advanced vision capabilities into hardware systems seamlessly.
- Conduct comprehensive testing and validation across diverse scenarios to ensure system robustness and reliability.
- Mentor and guide junior engineers, fostering innovation and technical growth within the team.
- Engage in innovative projects within a dynamic environment that values creativity and collaboration.
- Contribute to the development and deployment of high-performance systems tailored to specific operational needs.
Key Responsibilities & Duties
- Design and implement advanced 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 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.
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