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Active1mo ago

AI Automation Engineer, Real-World Test Lab

Niantic Spatial·📍 San Francisco, California, United States

Employment

FULL TIME

Work mode

Remote

Experience

Not stated

Salary

$158.4K – $210K/yr

Role overview

Job description

About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used

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About this listing

  • Source: Niantic Spatial's official careers site (via Ashby) · last confirmed on the source 4 Nov 2026
  • Posted 29 Sept 2026

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What they are looking for

Skills & requirements

Qualification

A bachelor's degree in a relevant field, or equivalent experience; Nice to Have Built agent-based or LLM-driven automation for a task that previously required human judgment; You reach for agents and LLM-driven automation before you reach for headcount, and you're rigorous about verifying what they produce; If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for

Department · Operations

Hiring company

Niantic Spatial

We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. World models imagine the world. We measure it: metric scale, geometry, coordinates and georeferencing.

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