Senior Computer Vision Engineer, Embodied AI

Niantic SpatialSan Francisco, CAEngineering

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Opens the official Niantic Spatial careers page

Salary

$229.5K – $255K

Job type

Full-time

Work mode

Remote

Posted

23 Sept 2026

Status

Open · checked 7d ago

About this role

Role Overview

Niantic Spatial is seeking a Senior Computer Vision Engineer to join the Embodied AI team in San Francisco, California, with a hybrid work model requiring three days per week in the office. This full-time position suits an experienced practitioner who can transform research concepts into reliable, production-ready computer vision and 3D reconstruction systems for autonomous applications.

Key Responsibilities

Scale computer vision and 3D reconstruction prototypes into dependable services that function reliably across diverse customer environments.

Maintain end-to-end output quality by ensuring spatial data and reconstructed environments maintain geometric accuracy and correct scale for downstream simulation workflows.

Resolve complex system failures linked to capture quality, sensor calibration, scene complexity, and coordinate conventions.

Optimize performance, throughput, and operational economics for large-scale distributed and GPU workloads.

Develop datasets, quality gates, regression tests, and benchmarking suites to measure system improvements effectively.

Collaborate across product, research, and engineering teams to align customer requirements with practical perception capabilities.

Requirements

Extensive background in building and maintaining production-level computer vision, graphics, machine learning, or data processing systems.

Hands-on expertise in 3D reconstruction, structure from motion, photogrammetry, SLAM, mapping, or scene understanding.

Practical understanding of spatial data, metric scale, camera models, coordinate frames, and calibration.

Strong coding abilities in Python alongside experience working in performance-oriented environments using C++.

Familiarity with cloud infrastructure, large-scale data pipelines, and GPU workload management.

Holds a bachelor's degree in a relevant discipline or possesses equivalent professional experience.

Nice to Have

Practical knowledge of neural rendering, Gaussian splatting, meshing, or related modern reconstruction approaches.

Experience designing evaluation or benchmarking tools for perception systems.

Background working with robotics, simulation environments, or embodied AI platforms.

Track record of optimizing large-scale GPU operations for improved latency, cost, and throughput.

Skills and Tools

Python

C++

Computer Vision

3D Reconstruction

SLAM and Photogrammetry

Cloud Infrastructure and GPU Workloads

Salary and Benefits

Base compensation ranges from $229,500 to $255,000 per year, supplemented by an annual bonus, equity opportunities, and comprehensive benefits including medical, dental, vision coverage, and a 401(k) plan.

About the Company

Niantic Spatial is developing physical AI infrastructure powered by a proprietary database containing over 30 billion posed images. The company's mapping technology and Visual Positioning System provide precise spatial intelligence and reconstruction capabilities that serve robotics, the public sector, and industrial markets.

How to Apply

Interested candidates should visit the official Niantic Spatial careers page to submit an application and review further details.

Skills and tech stack

Python PyTorch Computer Vision C++Machine Learning

Questions candidates ask

What is the salary range for the Senior Computer Vision Engineer role?

The base salary range is between $229,500 and $255,000 per year, plus an annual bonus, equity, and comprehensive benefits.

Where is this position located?

The role is based in the San Francisco, CA office with a hybrid schedule requiring three days per week in the office and remote flexibility.

What programming languages are required?

Strong Python skills are required, along with the ability to work in C++ or other performance-oriented environments when necessary.

What technologies does Niantic Spatial use for mapping?

Niantic Spatial uses a proprietary database of over 30 billion posed images, a Visual Positioning System, and advanced 3D reconstruction and mapping technologies.

What department does this role belong to?

This position is part of the Engineering department, specifically working within the Embodied AI team.

Ready to apply?

The application is on the official Niantic Spatial careers page.

Apply on company site