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 & Disability Insurance, Paid Holidays, Generous Pto
Posted 56d ago
~40 hrs/week
Responsibilities
Develop and advance an on-device visual-inertial SLAM pipeline to enhance real-time AR visualization and mobile capture. This includes optimizing for latency and memory on mobile hardware and integrating learning-based methods with classical components.
Requirements
Requires a Master's or PhD in Computer Science, Robotics, or a related field with significant experience in real-time VI-SLAM systems. Proficiency in modern C++, Python, and deep knowledge of multiview geometry and sensor calibration is essential.
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 hiring a SLAM Engineer to advance the on-device visual-inertial SLAM system that powers our mobile capture experience. This role is central to how everyday users capture the world using their phones. You will enhance the live tracking pipeline running on mobile, pushing the limits of accuracy, robustness, and real-time AR visualization across a wide range of real-world scenarios — going well beyond what platform-provided solutions can deliver.
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
Real-time SLAM & Sensor Fusion
Develop and advance our on-device visual-inertial odometry and VI-SLAM pipeline — including sensor fusion across multi-camera streams, IMU, and depth — with drift correction and relocalization for production capture workflows.
Improve robustness across the full range of real-world user behavior — low-light, fast motion, textureless environments, and difficult geometry.
Drive down latency and memory footprint on mobile hardware, offloading compute to GPU where possible. Direct experience with GPU programming (Metal shaders, CUDA kernels, or equivalent) is a strong advantage.
Develop and extend calibration pipelines covering camera intrinsics, extrinsics, IMU biases, and time synchronization across multi-sensor mobile configurations.
Research Integration & Evaluation
Collaborate with the team’s deep learning expertise to evaluate and selectively integrate learning-based methods alongside classical components in the live tracking stack.
Build and extend evaluation methodology grounded in real user captures.
Translate research progress into shipped capability in a fast-moving environment.
What You Bring
Must-Have Qualifications:
Master’s, or PhD in Computer Science, Computer Vision, Robotics, or a related field — or equivalent demonstrated experience.
Significant hands-on experience developing or substantially improving a real-time visual-inertial odometry or VI-SLAM system, with a strong emphasis on camera-based pipelines.
Strong C++ (modern, performance-aware) and Python (tooling, prototyping, ML work).
Deep working knowledge of multiview geometry, nonlinear estimation, inertial sensing, and the practical failure modes of real-time tracking on resource-constrained devices.
Real experience with sensor calibration on real hardware.
Ability to read the deep learning literature critically and openness to integrating learned components over time.
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 with mobile SLAM or VIO on iOS or Android (iPhone strongly preferred). Familiarity with constrained-system development including ARM, threading, memory profiling, and power-aware design.
Direct GPU programming experience — Metal shaders, CUDA kernels, or GPU compute APIs — for offloading SLAM or vision workloads on mobile hardware.
Experience with multi-camera and multi-sensor fusion (RGB, depth, IMU) in a mobile or embedded context.
Track record of shipping SLAM or visual odometry systems in production on mobile or embedded platforms.
Contributor to open-source SLAM or VIO projects (OpenVINS, ORB-SLAM, VINS-Mono, or similar).
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
SLAMVIOComputer VisionGenerative AIPhysics-Informed AILarge Scene ModelsLarge World ModelsAPI-FirstMetalCUDAARMOpenVINSORB-SLAMVINS-MonoiOSAndroid
Quidient Reality: Generalized Scene Reconstruction Platform
Industry
Software Development
Company size
11-50 employees
Founded
2017
Headquarters
Columbia, Maryland
LinkedIn followers
1,198
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 370 listings with disclosed salaries, most engineering jobs in Columbia, MD pay between $70k–$224k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Columbia, MD right now?
There are currently 523 open engineering positions in Columbia, MD listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Columbia, MD?
Companies currently hiring include BigBear.ai, Leidos, CACI International Inc, Mission Technologies, a division of HII, Parsons Corporation, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Columbia, MD?
Yes — 137 of the 523 open engineering positions offer remote or hybrid work (18 remote, 119 hybrid).
How do I apply for Engineering jobs in Columbia, MD?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.