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 flagsh…
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 flagsh…
Skills: C++, Python, PyTorch, Structure from Motion, Multi-view Stereo
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 flagsh…
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 flagsh…
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 flagsh…
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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 flagsh…
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 flagsh…
Skills: Deep Learning, Neural Network Design, PyTorch, C++, Python
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 flagsh…
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$175k–$230k/yr
Full-time
postgraduate degree
Health insurance, HSA, 401(k) with company match, Life insurance, Disability insurance, Paid holidays
Posted 54d ago
~40 hrs/week
Responsibilities
Develop and advance the offline mapping and 3D reconstruction pipeline to improve accuracy in challenging environments. Integrate deep learning methods with classical SfM and MVS components to enhance production-quality reconstruction.
Requirements
Requires a Master's or PhD in Computer Science, Computer Vision, Robotics, or a related field. Candidates must have significant hands-on experience with offline reconstruction systems and proficiency in C++ and Python.
Full job description
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 seeking a Senior Offline Mapping Engineer to own and advance the accuracy and robustness of our offline mapping and 3D reconstruction systems. This role sits at the core of our Generalized Scene Reconstruction Platform, where classical SfM and multi-view stereo provide the foundation and modern deep learning methods push quality over the edge — particularly in textureless, featureless, and highly reflective environments that defeat traditional approaches. You will enhancethe pipeline that turns real-world captures into highly accurate, production-quality 3D reconstructions.
This is a hybrid position, meaning that you will need to live within easy driving distance to our Technology Center in Columbia, Maryland.
What You’ll Do
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.
What You Bring
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.
What We Offer
Compensation:
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
Equal Opportunity Employer Statement
Quidient is an Equal Opportunity Employer. Quidient will consider all qualified applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other classification protected by applicable state, federal, or local laws.
Related keywords
Generalized Scene ReconstructionGSRQuidient RealityGenerative AIPhysics-Informed AILarge Scene ModelsLarge World ModelsAPI-FirstSfMMulti-view stereoBundle adjustmentDeep learningPyTorchSensor calibration3D reconstructionNeRF
Quidient Reality: Generalized Scene Reconstruction Platform
Industry
Software Development
Company size
11-50 employees
Founded
2017
Headquarters
Columbia, Maryland
LinkedIn followers
1,214
Total funding
$12M
Quidient is a Spatial AI company. We’re a leader in Generalized Scene Reconstruction (GSR), a major branch of the Spatial AI ecosystem. Our flagship product, Quidient Reality®, democratizes GSR by enabling anyone with a mobile device to easily virtualize objects and scenes without specialized equipment.
Quidient uses Plenoptic Condensation™ (PCon™), a GSR method developed by Quidient, to reconstruct high-fidelity surfaces, relightable objects, and large scene models (LSMs). Quidient’s Reality Models™ (Relms) disentangle light fields from matter fields, enabling objects and scenes to be fully relit. Quidient can reconstruct difficult materials, such as glass and metal, outperforming conventional 3D scanning approaches. Development partners are already deploying our SDK to create amazing products using GSR.
Explore our posts to learn more about our technology, products, and real-world applications.
Offices: 7142 Columbia Gateway Drive, Suite 140, Columbia, Maryland 21046, US
Machine LearningComputational PhysicsPolarimetrySLAMGeneralized Scene Reconstruction EnginessfM3D Imagingand 3D ScanningSoftware3D Technology
Based on 265 listings with disclosed salaries, most software jobs in Columbia, MD pay between $78k–$229k per year. Individual offers vary with seniority, company size, and specialization.
How many Software jobs are open in Columbia, MD right now?
There are currently 373 open software positions in Columbia, MD listed on Clera. New openings are added daily as companies post roles.
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Companies currently hiring include BigBear.ai, Independent Software, Mission Technologies, a division of HII, Leidos, Parsons Corporation, among others. Browse the listings above to see every active employer.
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