Jobs at Niantic Spatial, Inc.

Develop AI systems integrating 3D computer vision and language understanding for context-aware navigation and complex interaction in physical environments.

The Senior Computer Vision Engineer will develop and maintain Computer Vision systems, refine algorithms for 3D Reconstruction, optimize performance, lead technical projects, and collaborate with cross-functional teams.

Manage complex programs for developing customer-facing geospatial technologies. Oversee the program lifecycle, coordinate with teams, and ensure successful deployment.

As a Senior Computer Vision Engineer, you will design and optimize production-grade systems for visual positioning and 3D mapping, leading technical reviews and collaborating across teams.

Own technical solutioning from discovery through implementation for enterprise customers, especially in Energy. Design end-to-end cloud/edge/device architectures, lead technical workshops, produce proposals and SOWs, integrate solutions with enterprise systems (APIs, identity, GIS, robotics), partner with Product and Delivery, support pilots and deployments, and maintain repeatable demos to drive commercial outcomes.

Lead FP&A as primary owner of planning and reporting: build budgets, rolling forecasts, P&Ls, variance and scenario analyses; prepare Board and executive materials; support monthly close; run cross-functional planning meetings; and improve FP&A processes and systems toward scalable planning.

The Technical Lead for Computer Vision will implement advanced algorithms, mentor engineers, and optimize code in C++ and Python while collaborating across teams.

Research and implement state-of-the-art algorithms for large-scale 3D reconstruction, neural scene representations, Gaussian splatting, SfM/SLAM and spatial foundation models; run large-scale experiments, publish at top venues, and transition research into production under real hardware and customer constraints.

Lead technical solutioning for federal accounts from discovery through delivery: design secure end-to-end architectures across cloud, hybrid, edge and classified environments; author RFI/RFP proposals; ensure integrations into federal ecosystems; influence product roadmap; support implementation, accreditation, and transition to sustained operational use.

Lead delivery of high-fidelity 3D reconstruction PoCs, engage enterprise customers, evaluate multi-sensor capture workflows, drive technical improvements (Gaussian splatting, meshing, hybrid neural representations), define quality metrics and benchmarks, and influence product and research priorities to scale real-time photorealistic reconstructions.