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Niantic Spatial

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Niantic Spatial has 14 open roles, 3 posted in the last 30 days. Stated pay range: $102k – $340k a year.

Open roles

  • Niantic Spatial logo
    Engineering Manager, Device Platforms

    Niantic Spatial

    • San Francisco, CA
    • On-site · Senior
    • $239k–$310k
    AI-native
    Ashby
    Posted 7d ago
  • Niantic Spatial logo
    Software Engineer, Infrastructure

    Niantic Spatial

    • San Francisco, CA
    • Hybrid · Mid-level
    • $163k–$230k
    AI-native
    Ashby
    Posted 14d ago
  • Niantic Spatial logo
    Staff/Senior Staff Computer Vision Engineer - Map team

    Niantic Spatial

    • San Francisco, CA
    • Hybrid · Staff / Lead
    • $257k–$315k
    AI-native
    Ashby
    Posted 22d ago
  • Niantic Spatial logo
    AI Engineer, Computer Vision

    Niantic Spatial

    • San Francisco, CA
    • Hybrid
    • $166k–$221k
    AI-native
    Ashby
    Posted 37d ago
  • Niantic Spatial logo
    Staff Engineer - Robot Learning, Embodied AI

    Niantic Spatial

    • San Francisco, CA
    • Hybrid · Staff / Lead
    • $270k–$300k
    AI-native
    Ashby
    Posted 42d ago
  • Niantic Spatial logo
    Senior/Staff Product Engineer, Embodied AI

    Niantic Spatial

    • San Francisco, CA
    • Hybrid · Staff / Lead
    • $207k–$265k
    Ashby
    Posted 44d ago
Show all roles

About

Niantic Spatial logo

Niantic Spatial

We build real-world foundation models that unlock physical AI for a more productive and resilient world.

First, our founders brought digital mapping to the world. Next, we invented global-scale AR. Now we're building the real-world foundation model for people, AI and robots. We're building for the 80% of economic activity that takes place beyond our screens: robots that lose GPS and drift off course, defense teams with no shared 3D picture of where they operate, facilities where downtime costs millions. Unlike LLMs, which understand language, we build computer-vision models that understand physical space. And unlike generated environments, our models are geometrically accurate and have real-world coordinates - which is what makes physical AI precise and trustworthy. We work across three capabilities for our customers: reconstructing physical spaces as AI-native digital twins using cheap, off-the-shelf cameras; locating and orienting – “localizing” – machines and people within those spaces; and enabling AI to understand and answer questions about the real world.

Private company
Size51–200 employees
Industry
Unlock human wisdom
ThesisTermsPrivacy
Software Development

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