Senior Computer Vision Engineer, Embodied AI

Niantic Spatial, Inc.

. Turn research ideas and prototypes into reliable computer-vision and 3D reconstruction pipeline components and services .

Posted 9/23/2026full-timeSan Francisco • California • United StatesSenior💰 $229,500 - $255,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production computer-vision and 3D reconstruction systems, with a strong command of Python and C++. Proficient in optimizing GPU workloads and developing evaluation infrastructure for perception and reconstruction applications.

Highest-signal resume keywords

Computer-Vision Systems3D ReconstructionPython ProgrammingGPU Workloads OptimizationCloud Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

3D ReconstructionPhotogrammetryStructure From MotionSLAMMappingScene UnderstandingComputer GraphicsGaussian SplattingNeural RenderingBenchmarking Infrastructure

Tools & Technologies

C++Distributed ProcessingLarge-Scale Data PipelinesCamera ModelsCoordinate Frames

Industry Keywords

Embodied AISimulationSpatial DataGeometryCalibration

Tech Stack

Tools & technologies

CloudPythonC++

About the role

Key responsibilities & impact

Turn research ideas and prototypes into reliable computer-vision and 3D reconstruction pipeline components and services
Ensure reconstructed environments and spatial artifacts are geometrically coherent, correctly scaled and aligned, and usable by downstream simulation and embodied AI systems
Diagnose failures caused by capture quality, scene complexity, scale, calibration, coordinate conventions, and other implicit assumptions
Profile and optimize GPU and distributed workloads, reduce unnecessary reruns, and help establish the economics of running reconstruction at scale
Create datasets, regression tests, quality gates, and benchmarking tools
Bring production and customer constraints into research planning and prioritize advances for embodied AI
Partner with Embodied AI product and engineering teams to understand customer requirements and deliver capabilities for training, evaluation, and deployment workflows
Evolve representations, tooling, and operational systems for moving reconstructed environments into customer applications
Work across research, engineering, product, and customer teams to turn advances in 3D reconstruction and spatial perception into production capabilities

Requirements

What you’ll need

Significant experience building and operating production computer-vision, machine-learning, graphics, or data-processing systems
Hands-on experience with 3D reconstruction, photogrammetry, structure from motion, SLAM, mapping, scene understanding, computer graphics, or a related field
Experience delivering reliable computer-vision or 3D systems used by other teams or customers
Practical command of 3D and spatial data, including geometry, camera models, coordinate frames, calibration, and metric scale
Strong Python skills
Ability to work in C++ or other performance-oriented environments when needed
Experience with cloud infrastructure, GPU workloads, distributed processing, or large-scale data pipelines
A bachelor's degree in a relevant field, or equivalent experience
Experience with Gaussian splatting, neural rendering, meshing, or related reconstruction methods
Experience building evaluation or benchmarking infrastructure for perception or reconstruction systems
Experience with robotics, simulation, or embodied AI applications
Experience optimizing large-scale GPU workloads for cost, throughput, or latency
Ability to work three days per week in the San Francisco office

Benefits

Comp & perks

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