Senior Computer Vision Engineer (Localization)

Niantic Spatial is building physical AI and spatial intelligence technologies that help people and machines understand and navigate the real world. The Senior Computer Vision Engineer will own major parts of the company’s Localization technology, developing geospatial maps and a centimeter-level Visual Positioning System while bridging research and production. The role also involves optimizing computer vision and machine learning systems, evaluating spatial models, and providing technical leadership.

Responsibilities:

• System Architecture: Design, develop, and maintain production-grade computer vision systems that power Niantic Spatial’s VPS (Visual Positioning System) and 3D mapping pipelines
• Algorithmic Innovation: Refine and scale algorithms for our VPS system including, SfM (Structure from Motion) and Feed Forwards models, efficient feature and descriptor extraction to have the best possible accuracy and recall. Moving algorithms from research concepts to hardened production code that can scale for our map of the world
• Performance Engineering: Optimize complex ML and CV code for maximum efficiency in cloud and mobile environments, ensuring low latency and high-performance execution on GPU/CPU
• Benchmarking & Evaluation: Create and own the tools and frameworks used to evaluate the quality of our spatial grounding and 3D maps against ground-truth data
• Technical Leadership: Lead technical design reviews, mentor junior engineers, and serve as a team anchor for resolving complex technical disagreements within the mapping stack
• Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art computer vision solutions translate into delightful user experiences