We're looking for an experienced Computer Vision (CV) engineer to work on improving the core pieces of our mapping and localization capabilities. The main responsibilities of this role are accurately localizing images taken on construction sites and generating 3D reconstructions. There will also be a fair amount of general algorithm development in support of the rest of our 3D perception capabilities.
Brief summary of role:
- Design and architect complex, multi-component computer vision systems
- Prototype such systems and run detailed tests to evaluate performance on real world data
- Work with platform engineers to develop production level implementations
- Oversee dataset creation, curation, and labeling as necessary
- Monitor system performance in production and ensure adequate performance
- Assist in debugging and resolving failure edge cases in our production processing pipeline
- Contribute to defining development processes, best practices, and documentation
What we are looking for:
- M.S./Ph.D. in related field or equivalent industry experience
- Minimum of 2 years industry experience developing Python code
- Experience with camera models and camera calibration
- Comfort with 3D pose representations and transforms
- Experience with at least one of the following: SLAM, Structure from Motion (SfM), 3D reconstruction, photogrammetry, Visual Inertial Odemetry (VIO)
- Experience with 360/spherical image representations
- Familiar with all basic CV concepts like camera models, feature detection and matching, 3D pose representations and transforms, image processing, etc.
- Solid Python programming skills
- 3D visualizations and debug interfaces (OpenGL/PyQt)
- Numerical optimization
- Computational Geometry
- Probabilistic modeling
OpenSpace welcomes employees from varied backgrounds and walks of life, and it’s reflected in our diverse community. OpenSpace is proud to be an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
