Senior Computer Vision Engineer - Localization & 3D Mapping

Niantic; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Niantic Spatial is advancing the future of physical AI with a centimeter-level Visual Positioning System that integrates with robust 3D mapping pipelines. As a Senior Computer Vision Engineer, you will own substantial portions of localization, building a living geospatial world model and enabling scalable production deployments for spatial AI applications.

You will bridge R&D and production by refining VPS/3D mapping algorithms, optimizing performance for cloud and mobile, and mentoring

Qualifications

• BS, MS, or PhD in Computer Science, Robotics, Computer Vision, or related 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++.
• Domain expertise in Structure from Motion (SfM), VPS or 3D mapping.
• Deep learning frameworks (PyTorch or JAX) and Git experience.
• In-office days: 3 days per week.

Responsibilities

• Design, develop, and maintain production-grade computer vision systems powering VPS and 3D mapping pipelines.
• Refine and scale algorithms for VPS, SfM, and feature/descriptor extraction to maximize accuracy and recall.
• Translate research concepts into production-ready code that scales globally.
• Optimize ML/CV code for low latency on cloud and mobile GPUs/CPUs.
• Lead technical design reviews and mentor junior engineers.
• Collaborate with Product, Research, and Operations to deliver end-to-end spatial AI solutions.

Skills

Python

C++

SfM

VPS

3D mapping

Deep learning

PyTorch

JAX

Git

System design

Education

Bachelor's/Master/PhD in Computer Science, Robotics, Computer Vision, or related field

Tools

PyTorch

JAX

Git

COLMAP

OpenCV

Job description

Niantic Spatial is advancing the future of physical AI with a centimeter-level Visual Positioning System that integrates with robust 3D mapping pipelines. As a Senior Computer Vision Engineer, you will own substantial portions of localization, building a living geospatial world model and enabling scalable production deployments for spatial AI applications.

You will bridge R&D and production by refining VPS/3D mapping algorithms, optimizing performance for cloud and mobile, and mentoring