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.
Open Positions at Niantic Spatial
9 open positions
Join Niantic Spatial’s infrastructure team to build and operate the cloud platform, developer tooling, edge services, and compute systems that power spatial AI. The role combines infrastructure automation, reliability engineering, production operations, and developer platform work.
Lead the development of advanced computer vision technologies for living 3D maps, Visual Positioning Systems, and spatial AI. This staff-level individual contributor role combines hands-on engineering, applied research, technical leadership, and mentorship.
Build the geometric foundation of Niantic Spatial’s world map by developing 3D computer vision and learning-based geospatial alignment algorithms. This applied research engineering role takes ideas from experimentation through evaluation and into robust production systems.
Join Niantic Spatial’s localization team to train and deploy computer vision models that enable centimeter-level visual positioning. This full-loop role spans data pipelines, model training, evaluation, inference optimization, and production deployment.
Lead the engineering of a real-to-sim stack that helps robotics teams close the sim-to-real gap for embodied AI. This hands-on Staff Engineer role combines robot learning, simulation, evaluation, customer insight, and technical leadership.
Build and own the customer-facing product surface for embodied AI, including APIs, UIs, packages, documentation, and integrations with robotics simulators and deployment stacks. You will turn spatial-computing prototypes into reliable production services while shaping the roadmap and working directly with customers.
Build and own Niantic Spatial’s always-on automation system for evaluating physical AI in realistic real-world conditions. You’ll turn manual experiments into reproducible release-level evidence, diagnostics, and scorecards that guide product decisions.
Senior Computer Vision Engineer will productionize 3D reconstruction and spatial perception capabilities for embodied AI, turning research prototypes into reliable systems used by robotics and other customer teams. The role combines hands-on engineering, quality ownership, performance optimization, and cross-functional product collaboration.
Own and advance production-grade computer vision systems for centimeter-level localization, visual positioning, and 3D mapping of the real world. You’ll bridge research and production while leading technical efforts across Niantic Spatial’s applied algorithms team.