At niogod™, we are building the spatial intelligence required for the next generation of autonomous mobility. While our core philosophy is mapless, we utilize high-fidelity 3D reconstruction and SLAM to build the ground-truth data engines that train our neural networks. We are looking for an engineer to bridge the gap between geometric computer vision and scalable machine learning.
In this role, you’ll:
- ▶Spatial Algorithms: Implement and optimize algorithms for large-scale Visual SLAM and 3D scene reconstruction.
- ▶Ground Truth Generation: Develop automated tools for 3D scene synthesis and HD-mapping used exclusively for training and validating our ML models.
- ▶Data Engine Architecture: Build and maintain a continuous learning data engine that ingests fleet data to improve system performance.
- ▶Optimization: Fine-tune multi-view stereo and bundle adjustment pipelines to handle massive datasets with high precision.
What we require:
- ✓Advanced Foundation: MSc/PhD in Computer Science, Robotics, or equivalent experience in spatial computing.
- ✓Vision Expertise: Professional experience in Computer Vision, specifically relating to geometric reconstruction or localization.
- ✓Production Coding: Strong proficiency in C++ (for performance-critical geometry) and Python (for data orchestration and tooling).
- ✓Agile Mindset: A proactive learner who enjoys solving open-ended problems in a fast-paced environment.
It’s a plus if you have:
- Hands-on experience with sensor calibration, Structure from Motion (SfM), or Point Cloud processing (PCL).
- Experience with Ceres Solver, g2o, or similar non-linear optimization libraries.
- Experience working on mid-to-large scale software architectures or distributed data pipelines.
What we offer:
- 🚀 Tech-Centric Environment: A culture built by engineers, for engineers. Flat hierarchies and a "no-nonsense" approach to development.
- ⚡ State-of-the-Art Challenges: Work on the most difficult problems in robotics and autonomous driving.
- 🕰️ Flexibility: Results-based performance with flexible working hours.
- 💰 Competitive Salary: A high-tier compensation package that values your specialized technical skills.
Join the Mission
If you are ready to build the spatial intelligence for the next generation of autonomous mobility, we want to hear from you.
Apply Now