Job VC

We are looking for Computer Vision Engineers with strong experience in classical and geometric computer vision, and hands-on experience with SLAM, Visual-Inertial Odometry (VIO), or related localization systems.
We are open to candidates of different seniority levels (Junior to Senior), with responsibilities and scope defined by experience.
Responsibilities:
Develop and optimize classical and geometric computer vision algorithms
Work with feature tracking, matching, and geometric processing
Contribute to SLAM / VIO pipeline components
Integrate and test multi-sensor fusion systems (camera + IMU)
Design and run experiments, evaluate algorithm performance
Translate research papers into practical implementations
Collaborate with cross-functional engineering teams
Required Qualifications:
Hands-on experience with classical computer vision
Understanding of geometric computer vision concepts, including camera models, feature detection, and tracking
Familiarity with SLAM and/or Visual-Inertial Odometry (VIO) concepts
Experience with C++ and Linux environments
Ability to design, implement, and optimize computer vision algorithms in practice
Ability to learn from and implement research-based methods
Degree or ongoing studies in Computer Science, Mathematics, Physics, Engineering, or a related STEM field
Nice to Have:
Experience with Python
Knowledge of neural networks and CV libraries/frameworks (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
Experience with sensor fusion techniques
Familiarity with embedded or real-time systems
Robotics or navigation background