# Senior Offline Mapping Engineer

**Company:** [Quidient](https://hotfix.jobs/companies/quidient)
**Location:** Columbia, MD
**Role:** ML Engineering
**Salary:** $175k – $230k/yr
**Experience:** 7+ years
**Skills:** C++, Python, sfm, multi-view stereo, bundle adjustment, multiview geometry, nonlinear estimation, sensor calibration, PyTorch, Deep Learning, learned feature matching, monocular depth estimation, nerf, gaussian splatting, colmap
**Posted:** 2026-07-19

> Senior Offline Mapping Engineer owning accuracy and robustness of offline SfM, multi-view stereo, and 3D reconstruction pipelines. Integrates classical geometry with deep learning (learned matching, depth priors) for challenging real-world environments like textureless and reflective scenes. Requires advanced degree, production 3D vision experience, and hybrid work in Columbia, MD.

## Job Description

## Offline Mapping & Reconstruction
- Develop and advance our offline mapping and reconstruction pipeline, driving accuracy and robustness across the hardest capture scenarios — textureless walls, highly reflective surfaces, featureless geometry, and large-scale scenes.
- Reduce pose estimation failures and increase geometric accuracy in environments where classical methods degrade, using a combination of improved estimation and learned components.
- Design and integrate deep learning methods (learned feature matching, monocular depth priors, learned outlier rejection) alongside classical SfM and MVS components to close the last 10% of reconstruction quality.
- Improve calibration pipelines, bundle adjustment robustness, and dense reconstruction fidelity in offline processing contexts where throughput matters but hard real-time does not.

## Research Integration & Evaluation
- Build and maintain evaluation methodology grounded in real-world captures — covering feature-rich, textureless, and reflective environments — not synthetic benchmarks alone.
- Stay current with the deep learning and 3D vision literature, applying good judgment about which methods are production-viable and which are benchmark artifacts.
- Collaborate closely with the SLAM and real-time mapping team to share components and ensure offline improvements feed back into the broader reconstruction platform.

## Must-Have Qualifications
- Master’s, or PhD in Computer Science, Computer Vision, Robotics, or a related field — or equivalent demonstrated experience. This is a Senior-to-Staff level role.
- Significant hands-on experience building or substantially improving an offline SfM, multi-view stereo, or dense reconstruction system in production — not just research prototypes.
- Strong C++ and Python.
- Deep working knowledge of multiview geometry, bundle adjustment, nonlinear estimation, and — critically — the practical failure modes of each.
- Real experience with sensor calibration on real hardware.
- Hands-on ability to design, train, and integrate deep learning components (learned matching, depth estimation, feature extraction) into a classical reconstruction pipeline using PyTorch or equivalent.
- 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.
- Prior work on reconstruction of textureless, reflective, or geometrically challenging environments.
- Published or shipped work combining learned and classical methods in 3D vision pipelines.
- Expertise in neural scene representations (NeRF, Gaussian Splatting, or similar).
- Experience with large-scale numerical optimization.
- Contributor to open-source SfM, MVS, or 3D reconstruction projects (COLMAP, OpenMVS, or similar).
- Track record of shipping mapping or reconstruction systems at production scale.

## Compensation & Benefits
**Salary Range:** $175,000 - $230,000  
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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