Quidient is a deep tech AI company pioneering advancements in Generalized (5D) Scene Reconstruction (GSR). GSR is poised to become one of the world’s great digital product categories (think GPS, MRI, and LMM). Our flagship GSR product, Quidient Reality®, is a powerful API that enables anyone with a mobile device to virtualize, visualize, and measure anything.

Words relevant to Quidient include Generative AI, Physics-Informed AI, Large Scene Models (LSMs), Large World Models (LWMs), and API-First. Overview Quidient is hiring a Senior Computer Vision Engineer to own and operate the computer vision pipelines that power our Generalized Scene Reconstruction Platform. This is a cross-team, cross-product role focused on ensuring CV pipelines are robust, well-integrated, and flowing correctly across every product surface of Quidient Reality®.

This is a full-time hybrid position based in Columbia, Maryland.

What You’Ll Do

Computer Vision Pipelines Own and maintain end-to-end computer vision pipelines — from image preprocessing and calibration through feature extraction, depth estimation, and segmentation — ensuring data flows correctly across the platform. Diagnose and resolve pipeline failures, data quality issues, and integration bugs across CV modules, keeping reconstruction inputs clean and reliable. Build monitoring, testing, and validation infrastructure around CV pipelines to catch regressions early and maintain output quality.

Ensure CV pipelines perform reliably across deployment targets including mobile and autonomous vehicle platforms. Cross-Team Integration & Tooling Work across product and engineering teams to integrate CV outputs into downstream systems — reconstruction, rendering, and platform services. Define and maintain interfaces and data contracts between CV modules and the teams that consume them, reducing integration friction.

Use PyTorch and related frameworks to debug, profile, and maintain ML-based CV components in production. Build tooling and scripts that accelerate development workflows across the CV stack. Contribute production-quality code in C++ and Python across shared CV infrastructure.

Collaborate closely with SLAM, SfM, reconstruction, and platform engineering teams to keep the full pipeline healthy and shipping.

Qualifications

: Master’s, or PhD in Computer Science, Computer Vision, Electrical Engineering, or a related field — or equivalent demonstrated experience. Hands-on experience building, maintaining, or improving computer vision pipelines in production. Solid understanding of core CV concepts: camera models, feature detection/matching, depth estimation, image segmentation, and multi-view geometry.

Proficiency with PyTorch or a comparable ML framework, applied to computer vision problems. A pipeline-first mindset — you care about data flow, error handling, testing, and operational reliability as much as algorithmic novelty. Strong C++ and Python skills in a production or research codebase context.

Good judgment about which techniques from the literature translate to production and which do not. S. Citizen.

This position is not eligible for H-1B Sponsorship. Willingness to work on-site in Columbia, MD, in a hybrid capacity.

: Experience in fast-paced or startup environments. Experience with 3D reconstruction pipelines, including SfM, MVS, or neural scene representations (NeRF, Gaussian Splatting). Exposure to mobile CV deployment (ARKit, ARCore, on-device inference) or autonomous vehicle perception stacks.

Experience with CI/CD, pipeline orchestration, or data validation frameworks in an ML or CV context. Familiarity with SLAM, visual-inertial odometry, or sensor fusion systems.

Requirements

, which may include, but are not limited to a background check, citizenship verification, and Criminal Justice Information Services verification.