Senior Computer Vision Engineer

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.

What You Bring

Must-Have 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.
• Must be a U.S. Citizen.
• Willingness to work on-site in Columbia, MD, in a hybrid capacity.
• Meet Quidient, customer, and government security requirements.

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 Offer

Compensation

• 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