Senior Computer Vision Engineer (Localization)
Niantic Spatial14 days ago
Base Salary
$189k - $255k/yr
Responsibilities
- Design, develop, and maintain production-grade computer vision systems for Visual Positioning System and 3D mapping pipelines.
- Refine and scale Structure from Motion, feed-forward models, feature extraction, and descriptor extraction algorithms.
- Optimize machine learning and computer vision code for low-latency, high-performance execution on cloud and mobile GPU/CPU environments.
- Create and own benchmarking and evaluation tools for spatial grounding and 3D map quality against ground-truth data.
- Lead technical design reviews, mentor junior engineers, and resolve complex technical disagreements within the mapping stack.
- Collaborate with Product, Research, and Operations teams to deliver computer vision solutions and user experiences.
- Plan and lead technical projects from inception through production when applicable.
Requirements
- Bachelor’s, master’s, or doctoral degree in Computer Science, Robotics, Computer Vision, or a related technical field, or equivalent professional experience.
- At least 5 years of experience developing and shipping image processing, computer vision, or 3D reconstruction algorithms.
- Expert-level proficiency in Python and/or C++.
- Proven experience designing solutions involving Structure from Motion, Visual Positioning Systems, or 3D mapping.
- Deep experience with PyTorch or JAX and Git.
- Preferred experience contributing to open-source computer vision libraries such as OpenCV or COLMAP.
- Preferred experience with CUDA or shader programming for performance optimization.
- Preferred experience planning and leading technical projects from inception to production.
Benefits
- Requires three days per week in the office.
Categories
About Niantic Spatial
Niantic Spatial builds computer‑vision and spatial computing software that maps real‑world environments and localizes people and machines within them. The company offers a platform with APIs and SDKs for creating AI‑native digital twins, visual positioning, and spatial question‑answering, serving robotics, AR/VR, defense, and industrial operations. Privately held, it sells its technology to enterprises that need precise, geometrically accurate understanding of physical spaces beyond GPS or screen‑bound systems.