Real-Time Mobile SLAM Engineer (On-Device)

Quidient; United States; Hybrid; USD 175,000 - 230,000; Full time

Benefits offered by this job

Health insurance

HSA

401(k) with company match

Life & disability insurance

Paid holidays & generous PTO

Bonus & equity

Job summary

Quidient is hiring 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, pushing accuracy, robustness, and real-time AR visualization across diverse real-world scenarios.

This hybrid role requires residence within driving distance to the Technology Center in Columbia, Maryland, and offers a salary range of $175,000–$230,000 plus bonus and equity.

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.

Responsibilities

• 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.
• Develop and extend calibration pipelines covering camera intrinsics, extrinsics, IMU biases, and time synchronization across multi-sensor mobile configurations.
• 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 and translate research progress into shipped capability.

Skills

C programming

Python

Real-time SLAM

VI-SLAM

GPU programming

Sensor fusion

On-device compute

Education

Master’s or PhD in CS, CV, Robotics, or related field

Tools

Metal shaders

CUDA

ARM

Multicamera pipelines

Job description

Quidient is hiring 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, pushing accuracy, robustness, and real-time AR visualization across diverse real-world scenarios.

This hybrid role requires residence within driving distance to the Technology Center in Columbia, Maryland, and offers a salary range of $175,000–$230,000 plus bonus and equity.