Senior CV Engineer: 3D Reconstruction for Embodied AI

Niantic Spatial, Inc.; San Francisco (CA); Hybrid; USD 230,000 - 255,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) plan

Equity

Job summary

Niantic Spatial seeks a Senior Computer Vision Engineer for its Embodied AI team in San Francisco. You will turn 3D reconstruction and spatial perception advances into production-ready capabilities used by autonomous systems, with emphasis on quality, latency, and reliability.

You’ll work across research, engineering, product, and customer teams to ship robust computer-vision and 3D capabilities at scale, shaping the interfaces to Embodied AI workflows and ensuring production readiness.

Qualifications

• 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, with the 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.

Responsibilities

• Productionize Computer-Vision and 3D Reconstruction Capabilities - Turn research ideas and prototypes into reliable pipeline components and services that can operate across varied customer data and environments.
• Own End-to-End Output Quality - Ensure that reconstructed environments and spatial artifacts are geometrically coherent, correctly scaled and aligned, and usable by downstream simulation and embodied AI systems.
• Make Systems Robust to the Real World - Diagnose failures caused by capture quality, scene complexity, scale, calibration, coordinate conventions, and other assumptions that prototypes often leave implicit.
• Improve Performance, Throughput, and Cost - Profile and optimize GPU and distributed workloads, reduce unnecessary reruns, and help establish the economics of running reconstruction at scale.
• Build Evaluation and Quality Infrastructure - Create datasets, regression tests, quality gates, and benchmarking tools that help the team measure whether changes improve the system.
• Shape the Next Generation of Capabilities - Bring production and customer constraints into research planning, helping prioritize the advances that matter most for embodied AI.
• Work Across the Product Boundary - Partner with Embodied AI product and engineering teams to understand customer requirements and deliver capabilities that fit real training, evaluation, and deployment workflows.
• Define the Interfaces to Embodied AI Workflows - Help evolve the representations, tooling, and operational systems that allow reconstructed environments to move reliably into customer applications.

Skills

Production CV systems

3D reconstruction

Python programming

Cloud infrastructure

Geometry & calibration

ML / graphics / data processing

Education

Bachelor's degree or equivalent experience

Job description

Niantic Spatial seeks a Senior Computer Vision Engineer for its Embodied AI team in San Francisco. You will turn 3D reconstruction and spatial perception advances into production-ready capabilities used by autonomous systems, with emphasis on quality, latency, and reliability.

You’ll work across research, engineering, product, and customer teams to ship robust computer-vision and 3D capabilities at scale, shaping the interfaces to Embodied AI workflows and ensuring production readiness.