Niantic Spatial, Inc.
Niantic Spatial, Inc.
Niantic Spatial, Inc. izstrādā ģeotelpisko mākslīgo intelektu, lai veidotu mašīnlasāmus fiziskās pasaules attēlojumus. Uzņēmuma platforma apvieno uz zemes un no gaisa iegūtu sensoru datus, lai radītu augstas precizitātes, ģeogrāfiski piesaistītus trīsdimensiju digitālos dvīņus, nodrošinātu vizuālu lokalizāciju gadījumos, kad GPS nav uzticams, un kartētajai videi piešķirtu semantisku nozīmi. Izmantojot telpas uztveršanai, rekonstruēšanai, lokalizēšanai un izpratnei paredzētus produktus, uzņēmums apkalpo robotikas, publiskā sektora un aizsardzības, rūpniecības, kā arī lielu pasākumu norises vietu lietošanas scenārijus, piedāvājot izstrādātājiem un organizācijām SDK un uzņēmumu pakalpojumus.

Senior Computer Vision Engineer, Embodied AI — San Francisco Hybrid

Build and productionize 3D reconstruction and spatial-perception systems for Niantic Spatial’s physical AI platform. Improve reliability, reconstruction quality, GPU efficiency, and workflows supporting embodied AI.

Apraksts

  • Convert research concepts and prototypes into dependable computer-vision and 3D-reconstruction pipeline components and services
  • Validate that reconstructed environments and spatial artifacts are geometrically coherent, properly scaled and aligned, and ready for simulation and embodied AI systems
  • Investigate failures related to capture quality, scene complexity, scale, calibration, coordinate conventions, and other hidden assumptions
  • Profile and optimize GPU and distributed workloads, eliminate avoidable reruns, and support cost planning for reconstruction at scale
  • Build datasets, regression tests, quality gates, and benchmarking tools
  • Incorporate production and customer needs into research planning and prioritize improvements for embodied AI
  • Collaborate with Embodied AI product and engineering teams to translate customer requirements into capabilities for training, evaluation, and deployment
  • Advance representations, developer tools, and operational systems that move reconstructed environments into customer applications
  • Coordinate across research, engineering, product, and customer teams to turn 3D-reconstruction and spatial-perception advances into production capabilities

Prasības

  • Substantial experience developing and operating production systems for computer vision, machine learning, graphics, or data processing
  • Practical experience with 3D reconstruction, photogrammetry, structure from motion, SLAM, mapping, scene understanding, computer graphics, or a related discipline
  • Track record of delivering dependable computer-vision or 3D systems for internal teams or customers
  • Strong understanding of 3D and spatial data, including geometry, camera models, coordinate frames, calibration, and metric scale
  • Advanced Python proficiency
  • Ability to use C++ or another performance-oriented language when required
  • Experience with cloud infrastructure, GPU computing, distributed processing, or large-scale data pipelines
  • Bachelor’s degree in a relevant discipline or equivalent professional experience
  • Experience with Gaussian splatting, neural rendering, meshing, or related reconstruction techniques
  • Experience creating evaluation or benchmarking infrastructure for perception or reconstruction systems
  • Background in robotics, simulation, or embodied AI applications
  • Experience optimizing large-scale GPU workloads for cost, throughput, or latency
  • Availability to work three days per week from the San Francisco office

Priekšrocības

  • Annual bonus
  • Equity
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • 401(k)
  • Comprehensive benefits package

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