OverviewQuidient 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 Youll DoComputer 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.
What You BringMust-Have Qualifications:- Masters, 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.
- Must be a U.S. Citizen. This position is not eligible for H-1B Sponsorship.
- Willingness to work on-site in Columbia, MD, in a hybrid capacity.
- Meet Quidient, customer, and government security requirements, which may include, but are not limited to a background check, citizenship verification, and Criminal Justice Information Services verification.
Nice-to-Have Qualifications:- 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.
- Publications or open-source contributions in computer vision or 3D reconstruction (CVPR, ICCV, ECCV, or similar venues).
What We OfferCompensation:- Salary Range: $160,000 - $210,000
- Annual bonus and equity as appropriate.
Benefits:- Health insurance
- HSA
- 401(k) with company match
- Life & disability insurance
- Paid holidays & generous PTO
- Opportunities for bonuses, equity, and career growth
