---
title: 'Robotics Engineering Intern - Fall 2026 at Niantic Spatial'
canonical: 'https://feeny.ai/job/robotics-engineering-intern-fall-2026-niantic-spatial-san-francisco-xejb88ma61br'
type: 'job'
last_seen: '2026-09-07'
---

# Robotics Engineering Intern - Fall 2026 at Niantic Spatial

- **Company:** Niantic Spatial
- **Location:** San Francisco, CA
- **Compensation:** $50–$65/hr
- **Employment:** internship
- **Work type:** onsite
- **Posted:** 2026-08-06
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/niantic-spatial/02fe210c-a0d9-419f-a0c0-da32d9ff7307

## Job description

## About Niantic Spatial

At Niantic Spatial, we’re building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment.

Our reconstruction technology captures environments with geometric accuracy and extreme detail from any standard camera, and our Visual Positioning System delivers precise positioning almost anywhere in the world. We serve customers across robotics, the public sector, and energy and industrial markets — building for the 80% of economic activity that takes place beyond our screens.

## About the Role

As a Robotics Engineering Intern or Co-op at Niantic Spatial, you will work directly at the intersection of learning-based systems and physical hardware. You will work hands-on with physical hardware, push robots toward fully autonomous operation across locomotion, navigation, and control, and iterate rapidly based on real-world feedback.

## What You’ll Work On

- Robot Learning Systems — Design, implement, and deploy learning-based systems on physical robotic hardware, working across locomotion, navigation, and control to push robots toward full autonomy.
- Sim-to-Real Deployment — Work across simulation environments (Isaac Sim, MuJoCo) and physical platforms, closing the sim-to-real gap and validating system behavior under real-world conditions.
- Hardware Iteration — Debug hardware, perform sensor calibration, and fix edge cases under real deployment conditions
- Approach Evaluation — Evaluate and weigh tradeoffs between classical robotics and learning-based methods, choosing the right tool for each problem and contributing to technical decision-making on the team.

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## What You’ll Bring

- Currently enrolled in (or a recent graduate of) a BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
- Strong proficiency in Python and modern deep learning frameworks (PyTorch or JAX).
- Hands-on experience with simulation environments (Isaac Sim, MuJoCo) and physical robotic hardware.
- Ability to work on-site full-time in San Francisco, CA for the duration of the program. Relocation or housing stipends are not included in this fall program.

## Preferred Skills

- Can take a robotics system from 0 to 1 and iterate quickly based on real world feedback.
- Comfortable working with hardware - sensor calibration, hardware debugging, and fixing edge cases under tight deadlines.
- Ability to weigh trade-offs between classical robotics and learning-based approaches
- High intellectual curiosity and a focus on pushing systems beyond existing baselines.
- Passionate about robotics and love what you do because you will be doing a lot of it.

Program Details

- Term — 12 to 16 weeks, full-time commitment.
- Location — 100% on-site in San Francisco, CA.
- Role Type — Open to undergraduate, masters, and PhD students, as well as co-op program participants.

Inclusive Application

We know the strongest candidates don’t always tick every box. 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.

## Equal Opportunity

Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.

Candidate Privacy

I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

## About Niantic Spatial

## Company Overview
- **One-liner**: Niantic Spatial builds real-world foundation models and spatial intelligence systems that enable machines to reconstruct, localize within, and understand the physical world at global scale.
- **Entity Type**: Private (startup, spun out of Niantic in 2025)
- **Headquarters**: San Francisco, CA, USA (with offices in Sunnyvale, Bellevue, London, and Tokyo)
- **Founded**: 2025 (as Niantic Spatial; roots trace back to Keyhole, founded 2001, and Niantic Labs, 2011)
- **Founders**: John Hanke (Founder & Executive Chairman); Thomas Gewecke (CEO), Brian McClendon (CTO), Inhi Cho Suh (President & COO)

## Core Business
- **Primary industry/industries**: Geospatial AI, physical AI infrastructure, spatial computing, robotics, defense, energy, construction, logistics
- **Target customers**: B2B – enterprises in robotics, oil & gas, defense, large venues, construction, logistics; public sector; also powers consumer apps via Scaniverse
- **Mission or purpose statement**: “Build a living model of the world that people and machines can talk to.”

## Products & Services
- **Large Geospatial Model (LGM)** – The core engine trained on one of the largest datasets of real‑world spatial imagery. It powers reconstruction, localization, and understanding capabilities at global scale. Accessed via Scaniverse and licensed to partners. (Model/API)
- **Reconstruct** – High‑fidelity, geo‑referenced 3D models (meshes and Gaussian splats) created from any standard camera, 360° camera, drone, LiDAR, or satellite imagery. (Technology/Service)
- **Localize (Visual Positioning System)** – Precise global positioning and orientation for humans and machines, even in GPS‑degraded or denied environments (indoors, outdoors, anywhere). (Technology/API)
- **Understand** – Spatial foundation models that give AI the ability to reason about the physical world: semantic understanding at every 3D point, queryable in natural language. (Technology/API)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Over 300 million user‑contributed scans; 30+ billion posed images from real‑world locations; 140+ patents filed or pending
- **Notable Investors/Partners**: Backed by Niantic (the Pokémon GO creator) and its internal resources; no external funding round publicly announced. Partnerships in defense, energy, construction, logistics, and large venues.
- **Growth Signals**: Formed as an independent company in 2025; actively hiring for senior engineering roles (Computer Vision, Tech Lead, AI Data Operations); expanding from consumer AR into enterprise and government sectors.

## Competitive Advantages
- **Deep heritage**: Founders built Keyhole (acquired by Google, became Google Earth/Maps) and later created the world’s first global Visual Positioning System at Niantic.
- **Unique data moat**: 300M+ crowdsourced scans and 30B+ posed images provide a proprietary dataset of real‑world spatial imagery that competitors would find extremely difficult to replicate.
- **Planetary‑scale deployment**: Proven ability to operate at global scale (Pokémon GO had 500M+ users); technology already battle‑tested in demanding consumer and enterprise environments.
- **Patent portfolio**: 140+ patents covering spatial reconstruction, localization, and understanding.

## Strategic Focus
- Continue building spatial foundation models that can reason about the physical world in natural language
- Expand vertical markets: robotics (warehouse, delivery, autonomous), defense (DDIL environments), oil & gas (facility digital twins), large venues, and construction
- Drive adoption of the Large Geospatial Model (LGM) as the standard for physical AI reasoning
- Integrate consumer‑facing Scaniverse as the front door to the LGM, simultaneously feeding the model with new user scans

## Why Work Here
- **Culture & mission**: High‑impact startup environment focused on a mission to create a living 3D model of the world; employees describe it as fast‑moving and collaborative
- **Work model**: Hybrid – blends in‑office collaboration with flexibility. Offices in San Francisco, Sunnyvale, Bellevue, London, and Tokyo.
- **Benefits**: 100% paid healthcare for employees, short‑/long‑term disability & life insurance (premiums covered), generous parental leave, flexible time off, 401(k) with company match, stock option grants (equity participation), and legal assistance (ARAG).
- **Engineering culture**: Deep technical challenges in computer vision, geospatial AI, large‑scale ML, and robotics; tight‑knit team of experts from Google Earth, Niantic, and the AR industry.
- **Growth trajectory**: Newly independent company with strong backing, ample opportunity to shape the product and technical direction.

## Sources
1. [nianticspatial.com – Homepage](https://www.nianticspatial.com/)
2. [nianticspatial.com – Careers](https://www.nianticspatial.com/careers)
3. [nianticspatial.com – About](https://www.nianticspatial.com/about)
4. [nianticspatial.com – About (alternate)](https://www.nianticspatial.com/en/about)

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