Computer Vision R&D Engineer (3D Imaging / Machine Learning)
About the Opportunity
We are partnering with an innovative engineering organization developing next-generation 3D imaging and inspection systems used across advanced manufacturing, medical technology, and robotics applications.
This is a highly collaborative R&D environment where computer vision engineers work alongside experts in software, robotics, optics, electronics, and physics to build cutting-edge solutions powered by machine learning and computational imaging.
What You’ll Do
- Design and develop advanced computer vision algorithms for:
- 3D reconstruction (e.g., structured light, multi-view geometry)
- 2D/3D imaging and camera calibration
- Object detection, segmentation, denoising, and metrology
- Research and implement machine learning / deep learning models for complex vision challenges
- Build and deploy end-to-end vision systems using C++ and Python
- Optimize algorithms for performance and scalability, including GPU/CUDA acceleration
- Develop solutions for inspection systems, medical devices, and robotics platforms
- Collaborate cross-functionally with global engineering teams
- Contribute to a highly innovative culture with regular idea-sharing and technical exploration
What They’re Looking For
- MS required (PhD preferred) in Computer Science, Computer Engineering, Robotics, or related field
- Strong background in computer vision and/or machine learning
- Hands-on experience developing and optimizing algorithms in C++ and/or Python
- Experience with GPU/CUDA or parallel processing
- Familiarity with vision/ML frameworks such as:
- OpenCV, PyTorch, TensorFlow, Caffe, etc.
Experience in at least one of the following areas:
- 3D vision (structured light, stereo, multi-view geometry)
- Image processing and vision algorithm optimization
- Deep learning (CNNs) for vision applications
- High-performance computing and algorithm optimization
- Embedded or real-time vision systems
