Niantic spatial
Senior Computer Vision Engineer
Overview
As a Senior Computer Vision Engineer on the Applied Algorithms team, you will own significant parts of our Localization technology, building the Map representing a living geospatial world model, as well as the centimeter-level accuracy Visual Positioning System (VPS).
About Niantic spatial
At Niantic Spatial, we’re building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment.
Requirements & Eligibility
- BS, MS, or PhD in Computer Science, Robotics, Computer Vision, or a related technical field (or equivalent professional experience).
- 5+ years of experience developing and shipping algorithms for image processing, computer vision, or 3D reconstruction.
- Expert-level proficiency in python and/or C++.
- Proven track record in designing solutions for Structure from Motion (SfM), VPS or 3D mapping.
- Deep experience with Deep Learning frameworks (PyTorch or JAX) and version control (Git).
Key Responsibilities
- Design, develop, and maintain production-grade computer vision systems that power Niantic Spatial’s VPS (Visual Positioning System) and 3D mapping pipelines.
- Refine and scale algorithms for our VPS system including, SfM (Structure from Motion) and Feed Forwards models, efficient feature and descriptor extraction.
- Optimize complex ML and CV code for maximum efficiency in cloud and mobile environments, ensuring low latency and high-performance execution on GPU/CPU.
- Create and own the tools and frameworks used to evaluate the quality of our spatial grounding and 3D maps against ground-truth data.
- Lead technical design reviews, mentor junior engineers, and serve as a team anchor for resolving complex technical disagreements within the mapping stack.
- Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art computer vision solutions translate into delightful user experiences.
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