Computer Vision Engineer
Contribute to automated assembly systems by researching and implementing computer vision and machine learning algorithms. Collaborate across multidisciplinary teams to integrate perception solutions into real-time robotic platforms.
Responsibilities
- Research, design, and implement algorithms for robotics, calibration, and computer vision tasks.
- Develop and optimize machine learning and deep learning models for industrial automation and real-time perception.
- Bridge theoretical concepts with practical implementation, ensuring robust and efficient real-time performance.
- Participate in system-level design and contribute to architecture and integration discussions across teams.
- Follow a structured, iterative development process emphasizing risk mitigation, efficiency, and high-quality deliverables.
Requirements
- 2+ years of hands-on computer vision experience (classical CV and/or deep learning).
- 2+ years of algorithms development or software engineering in R&D systems.
- B.Sc. or higher in Computer Science, Electrical Engineering, Robotics, or a related field.
- Strong proficiency in Python under Linux, using tools like Git for version control.
Nice to have
- Experience with C++.
Benefits
- See your work come to life in intelligent systems with tangible industrial impact.
- Work in a small, innovative team where algorithmic insight directly drives product performance.