Hybrid SLAM Engineer — Real-Time On-Device VIO & AR

Quid, Inc.; Washington (District of Columbia); Hybrid; USD 175,000 - 230,000; Full time

Benefits offered by this job

Health insurance

HSA

401(k) with company match

Life & disability insurance

Career growth opportunities

Job summary

Quidient is seeking a SLAM Engineer to advance the on‑device visual‑inertial SLAM system powering our mobile capture experience. You will enhance the live tracking pipeline on mobile devices, pushing accuracy, robustness, and real‑time AR visualization across diverse real‑world scenarios.

This is a hybrid role requiring residence near the Columbia, MD Technology Center. The role asks for advanced degrees or equivalent experience, expertise in C++/Python, and a track record in real‑time SLAM with

Qualifications

• Master’s or PhD in Computer Science, Computer Vision, Robotics, or related field — or equivalent demonstrated experience.
• Significant hands‑on experience developing or substantially improving a real‑time visual‑inertial odometry or VI‑SLAM system.
• Strong C++ and Python proficiency.
• Deep knowledge of multiview geometry, nonlinear estimation, inertial sensing, and real‑time tracking on constrained devices.
• Real experience with sensor calibration on real hardware.

Responsibilities

• Develop and advance on‑device visual‑inertial odometry and VI‑SLAM pipelines with sensor fusion across multi‑camera streams, IMU, and depth.
• Improve robustness across low‑light, fast motion, and textureless environments.
• Reduce latency and memory footprint on mobile hardware; GPU offloading where possible.
• Collaborate with DL experts to integrate learning‑based methods where appropriate.

Skills

C++ (modern)

Python

SLAM/VI-SLAM

Sensor calibration

Multiview geometry

Education

Master's degree

PhD

Tools

CUDA

Metal shaders

OpenVINS

ORB-SLAM

Job description

Quidient is seeking a SLAM Engineer to advance the on‑device visual‑inertial SLAM system powering our mobile capture experience. You will enhance the live tracking pipeline on mobile devices, pushing accuracy, robustness, and real‑time AR visualization across diverse real‑world scenarios.

This is a hybrid role requiring residence near the Columbia, MD Technology Center. The role asks for advanced degrees or equivalent experience, expertise in C++/Python, and a track record in real‑time SLAM with