We are looking for a Robotics Engineer to build custom capture rigs and test open source libraries for SLAM, VPS, Meshing, and Splats. Offer includes competitive compensation + equity.
Responsibilities:
- Develop and deploy real-time SLAM pipelines (e.g., ORB-SLAM, RTAB-Map, LIO-SAM).
- Read and integrate state of the art research on reconstruction techniques and work closely with our engineering team to productionize systems.
- Integrate stereo/depth cameras, IMUs, and LiDAR into wearable or mobile mapping rigs.
- Build systems for bringing captured data into a VPS, Mesh, and Splat pipelines.
Required Qualifications:
- 1–5 years of experience in robotics, autonomy, or applied computer vision.
- Ambitious, startup mindset with a strong sense of autonomy and independence.
- Have familiarity with either Python or C++.
- Know your way around ROS/ROS2, OpenCV, and tools like Open3D, GTSAM, Kalibr, PyTorch, and NumPy.
- Have worked with depth cameras like OAK-D, RealSense, ZED, or Orbbec.
- Are comfortable debugging on embedded systems (Jetson, NUC, or similar).
- Prefer building deployable systems over chasing benchmark scores.
Preferred Qualifications:
- Comfortable using AI assisted tools (Cursor, Windsurf, etc).
- Familiarity with neural rendering (Gaussian splats, NeRFs, SplatFusion).
- Experience in AR, XR, or spatial computing.
- Comfortable with Unity or Unreal engine integration.
- Understanding of VPS (Visual Positioning Systems) or relocalization.
- Basic PCB design, breadboarding, and soldering skills.
To apply, please send a short intro, your resume, and one or two links to past projects or code samples to jobs@meshmap.com
Please note that the MeshMap team does not outsource hiring to any other individuals or recruiting agencies. Anyone claiming to contact you on behalf of MeshMap must be part of our core team. If you have received any unauthorized messages, we recommend that you do not respond.