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QuidientQuidientColumbia, MD

SLAM Engineer

Develop and optimize on-device visual-inertial SLAM and sensor fusion pipelines for mobile capture, focusing on accuracy, robustness, low latency, and real-world performance. Requires advanced degree and hands-on experience building production VI-SLAM systems.

175k – 230k/yr
Hybrid5+ YOEEmbedded Engineering

About the role

Real-time SLAM & Sensor Fusion

  • Develop and advance on-device visual-inertial odometry and VI-SLAM pipeline, including sensor fusion across multi-camera streams, IMU, and depth.
  • Implement drift correction and relocalization for production capture workflows.
  • Improve robustness in challenging conditions: low-light, fast motion, textureless environments, difficult geometry.
  • Optimize latency and memory footprint on mobile hardware, offloading compute to GPU where possible.
  • Develop and extend calibration pipelines for camera intrinsics/extrinsics, IMU biases, and time synchronization across multi-sensor setups.

Research Integration & Evaluation

  • Collaborate with deep learning team to evaluate and integrate learning-based methods with classical components in the live tracking stack.
  • Build and extend evaluation methodology using real user captures.
  • Translate research into production capabilities in a fast-paced environment.

Skills

C++Pythonslamvisual-inertial odometryvi-slamsensor fusionmultiview geometrynonlinear estimationimusensor calibrationgpu programmingmetalCUDA
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