Lead technical development of computer vision systems for 3D reconstruction, mapping, and visual positioning, taking research into scalable production while shaping technical direction and mentoring engineers.
Niantic-Spatial jobs
Builds foundational models for physical AI.
16 open roles at Niantic-Spatial
Develop geospatial registration and 3D computer vision methods, build datasets and evaluation pipelines, and turn research advances into robust production systems for a world-scale map.
Research and develop 3D reconstruction methods, taking ideas from computer vision and spatial AI research through large-scale experiments, publication, and customer-facing production systems.
Train and evaluate PyTorch computer vision models for visual localization, build large-scale image and 3D data pipelines, and help improve benchmarks and production inference for precise positioning.
Leads engineering for a real-to-sim stack for embodied AI, shaping the roadmap and technical requirements while building and evaluating capabilities that improve robot policy transfer and real-world performance.
Own the customer-facing product surface for embodied AI, building APIs, integrations, and production systems that make spatial assets work in customer simulators and deployment workflows.
Own the physical testing infrastructure for robotics and capture hardware, from fleet characterization and instrumented environments to reproducible robot trials integrated with automated evaluation and sim-to-real workflows.
Build and own end-to-end evaluation automation for physical AI systems, turning manual tests into reliable, repeatable release workflows with comparable results and actionable diagnostics.
Productionize 3D scene-understanding systems for embodied AI, translating perception research into reliable pipelines that label environments and support downstream simulation, policy learning, and customer workflows.
Develop spatial representations and real-to-sim systems for embodied AI, advancing 3D understanding and simulation-based learning from research prototypes through evidence and production deployment.
Build qualified pipeline and customer relationships for an embodied AI business, shaping early commercial offers, learning from technical buyers, and closing deals as the product and market mature.
Shapes positioning, messaging, and go-to-market strategy for embodied AI by translating technical capabilities and market insight into credible proof, campaigns, partnerships, and offerings that drive adoption.
Own and advance localization technology by building production-grade computer vision systems, scaling visual positioning and 3D mapping algorithms, and bridging research with reliable, high-performance products.
Build early-stage pipeline by qualifying inbound interest, researching target accounts, and starting thoughtful conversations with prospective customers and partners in spatial computing, autonomy, and AI.
Build and lead the legal function, advising executives and partnering across the business on complex commercial agreements, corporate matters, compliance, intellectual property, and disputes.
Own customer-facing technical solutioning from discovery through delivery, designing scalable cloud, edge, and device architectures that integrate with enterprise systems and support industrial, energy, and robotics use cases.
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