Visual SLAM Researcher
Full Time
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DeepReach AI
About Us
We are an early-stage physical AI company building the data infrastructure for robot learning. We work closely with frontier AI labs, robotics companies, and leading university research groups.
What You'll Do
Own, maintain, and improve multiple visual-inertial SLAM / VIO / SfM pipelines across capture devices (custom hardware, phones, and more).
Run rigorous multi-camera and IMU calibration and time synchronization to keep spatial computing consistent and robust across devices.
Turn algorithms into high-throughput offline pipelines at scale, with trajectory quality metrics and automatic failure detection.
Build visualization and debugging tools for images, point clouds, and trajectories.
Serve as a computer vision hub for the team, supporting pre- and post-processing, data validation, and automated labeling.
Work closely with the hardware team on sensor calibration and on-site testing.
What We're Looking For
3+ years of experience in SLAM or 3D vision (graduate research counts).
Strong foundation in multi-view geometry and state estimation: camera models, bundle adjustment, factor graphs, filtering.
Proven experience building, maintaining, or improving SLAM, VIO, and SfM systems.
Proficiency in C++ and Python; familiarity with OpenCV, Ceres, GTSAM, COLMAP, Kalibr or similar.
Highly hands-on and product-oriented: you turn algorithms into reliable production systems.
Nice to Have
Calibration and SLAM with fisheye or ultra-wide cameras.
Processing mobile SLAM / AR data (e.g., ARKit, ARCore).
Learning-based SLAM, feed-forward 3D reconstruction, or neural reconstruction (3DGS / NeRF).
Optical flow or motion modeling for head-mounted cameras under motion blur and fast rotation.
Familiarity with PyTorch, FFmpeg, Rerun or similar tools.
Publications at CVPR, ICCV, ECCV, ICRA, IROS or similar.
What Success Looks Like
SLAM / SfM systems run reliably and efficiently on every capture device.
Customers trust our spatial data because the underlying algorithms and tooling are rock solid.
Why Join Us
Work alongside frontier AI labs and top university research groups on the field's hardest problems.
Publish at top venues and contribute to open source, with full support.
Own your work end to end, from sensors to algorithms to final delivery.
Early team, high ownership, competitive salary and equity.
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