# Senior Computer Vision Engineer

**Company:** [Quidient](https://hotfix.jobs/companies/quidient)
**Location:** Columbia, MD
**Role:** ML Engineering
**Salary:** $160k – $210k/yr
**Experience:** 5+ years
**Skills:** Computer Vision, PyTorch, C++, Python, slam, sfm, 3d reconstruction, nerf, gaussian splatting, arkit, arcore, multi-view geometry
**Posted:** 2026-07-19

> Senior Computer Vision Engineer owning end-to-end CV pipelines for Generalized Scene Reconstruction, from preprocessing and feature extraction to depth estimation and segmentation. Requires Master's/PhD (or equiv), production CV pipeline experience, strong PyTorch/C++/Python skills, and hybrid work in Columbia, MD.

## Job Description

## 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

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