Remote- full time- Posted July 28, 2026- via djinni.co
You will be redirected to djinni.co to apply.
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
