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Vision Systems Research Specialist
Primary Responsibilities:
Qualifications:
Job Type:
Schedule:
Location
Primary Responsibilities:
- Research and Development: Conduct in-depth research on emerging machine vision technologies, trends, and methodologies, with a particular focus on LIDAR, SLAM, IMU, ROS & 3D Space.
- Innovation Support: Identify and evaluate new technologies and tools that can enhance the company’s machine vision projects. Provide strategic insights and recommendations for integrating innovative solutions.
- Resource Provision: Source, compile, and manage a repository of technical resources, datasets, and tools to support the engineering team’s development activities.
- Documentation and Reporting: Maintain detailed documentation of research findings, methodologies, and experimental results. Prepare and present reports to stakeholders and team members on a regular basis.
- Project Support: Assist in the conceptualization and development of project prototypes, ensuring that research insights are effectively integrated into practical applications.
Qualifications:
- Bachelor’s or Master’s in computer science, Electrical Engineering, Robotics, or a related field with a focus on machine vision, image processing, or robotics.
- Proven experience in research and development within the areas of LIDAR, SLAM, IMU, ROS, or related vision technologies.
- Strong analytical and problem-solving skills, with the ability to conduct independent research and present findings clearly.
- Proficiency in programming languages commonly used in robotics and vision systems, such as Python or C++.
- Familiarity with machine learning and artificial intelligence concepts and their application in machine vision.
- Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team.
- A proactive and innovative mindset, with a continuous drive to learn and apply new technologies in real-world applications.
Job Type:
Full-Time
Schedule:
8 hour shift
Location
Reliably commute or planning to relocate before starting work (Preferred) Work Location: Chennai, India