Lead Software Engineer, 3D Computer Vision (USA)
Tasks
- Build mesh reconstruction pipelines
- Build train and ship 3D reconstruction systems
- Codify debugging and investigation playbooks
- Define AI first prototype first development workflows
- Design evaluate and deploy 3D computer vision features
- Develop monocular depth estimation models
- Develop multi view stereo systems
- Develop reusable agent skills and workflows
- Develop structure from motion systems
- Drive execution of photogrammetry roadmap
- Evaluate AI tools and performance impact
- Instrument metrics, logs, dashboards, and alerts
- Integrate newer 3D reconstruction approaches
- Lead production photogrammetry pipeline
- Mentor engineers and lead direct reports
- Optimize 3D systems for speed accuracy and robustness
- Own photogrammetry observability standards
- Review agent generated code and set reliability standards
- Run end to end technical investigations
- Set technical bar and review designs
- Translate strategic direction into shipped work
Perks/Benefits
Skills/Tech-stack
3D Reconstruction | AWS | Aerial Imagery | Aerial Imagery Pipelines | Azure | C++ | CI/CD | Cloud Computing | Computer Vision | Depth Estimation | Docker | Feature Matching | Feature detection | GCP | Gaussian Splatting | Geospatial Systems | GitHub Actions | Imagery pipelines | Jenkins | Kubernetes | Mesh Texturing | Mesh reconstruction | Monocular Depth | Monocular depth estimation | Multi-view Stereo | Photogrammetry | PyTorch | Python | SLAM | Structure from Motion | TensorFlow
Education
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