Robotics Engineer

2 weeks ago

Santa Clara, California, United States Maxinsights Full time $120,000 - $180,000 per year

Robotics Algorithm

EngineerLocation:
Santa Clara, CA (onsite preferred)

About the Role

We are looking for a
Robotics Algorithm Engineer
passionate about building next-generation robot perception and mapping systems. You will work on
vision-based localization, 3D reconstruction, and spatial understanding
, enabling robots to perceive, navigate, and interact intelligently with the real world.

You will join a world-class team of roboticists, computer vision scientists, and AI researchers developing embodied AI datasets, algorithms, and systems that bridge the gap between human and robot perception.

Responsibilities

  • Design and implement
    visual SLAM
    ,
    multi-sensor fusion
    , and
    structure-from-motion (SfM)
    pipelines for mobile robots or human-centric perception rigs.
  • Develop algorithms for
    3D reconstruction
    ,
    dense mapping
    , and
    scene understanding
    from multi-view or egocentric visual data.
  • Integrate and optimize perception algorithms on real robotic platforms (mobile bases, manipulators, or human motion rigs).
  • Conduct research and prototyping in areas such as
    NeRF-based mapping
    ,
    learning-based SLAM
    ,
    pose graph optimization
    , or
    multi-view geometry
    .
  • Collaborate with the data and platform teams to improve dataset quality, sensor calibration, and large-scale evaluation pipelines.

Qualifications

  • MS or PhD in
    Robotics, Computer Vision, Machine Learning, or a related field
    .
  • Strong experience with
    visual SLAM, VO/VIO, 3D reconstruction, or multi-view geometry
    .
  • Proficiency in
    C++ and Python
    , and familiarity with
    ROS / ROS2
    .
  • Solid understanding of
    camera models
    ,
    sensor fusion (IMU, LiDAR, depth)
    , and
    optimization frameworks (Ceres, GTSAM, g2o)
    .
  • Experience with datasets such as KITTI, TUM, EuRoC, Replica, or similar.
  • Strong analytical and debugging skills, capable of bringing research ideas to working systems.

Preferred / Bonus Skills

  • Experience in
    autonomous driving
    ,
    robotics research
    , or
    embodied AI datasets
    .
  • Familiarity with
    learning-based SLAM
    or
    differentiable mapping networks
    .
  • Hands-on experience with
    multi-camera calibration
    ,
    stereo depth
    , or
    3D reconstruction from RGBD / stereo / NeRF
    .
  • Publications in top venues (ICRA, CVPR, CoRL, RSS, ICCV, NeurIPS, etc.) are a plus.
  • Exposure to
    GPU acceleration
    ,
    simulation environments (MuJoCo, Isaac, Genesis, etc.)
    , or
    robot hardware integration
    .

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